Synchronizing local compiler cache.
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- .gitattributes +369 -0
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.gitattributes
CHANGED
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@@ -4042,3 +4042,372 @@ neuronxcc-2.20.9961.0+0acef03a/MODULE_96b63fa5abea8bee0195+89bfbfea/model.neff f
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neuronxcc-2.20.9961.0+0acef03a/MODULE_fdd20734b68ee90727c8+2c46edd4/wrapped_neff.hlo filter=lfs diff=lfs merge=lfs -text
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neuronxcc-2.19.8089.0+8ab9f450/MODULE_ffe8abf61d5a2a0a2b8e/model.neuron filter=lfs diff=lfs merge=lfs -text
|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/albert/hf-internal-testing/tiny-random-AlbertModel/082c855afd5bbe38fea8.json
ADDED
|
@@ -0,0 +1,54 @@
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-AlbertModel",
|
| 4 |
+
"_task": "fill-mask",
|
| 5 |
+
"architectures": [
|
| 6 |
+
"AlbertModel"
|
| 7 |
+
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|
| 8 |
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|
| 9 |
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|
| 10 |
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| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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"max_position_embeddings": 512,
|
| 19 |
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"model_type": "albert",
|
| 20 |
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|
| 21 |
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| 22 |
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| 23 |
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|
| 24 |
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| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
+
"input_names": [
|
| 31 |
+
"input_ids",
|
| 32 |
+
"attention_mask",
|
| 33 |
+
"token_type_ids"
|
| 34 |
+
],
|
| 35 |
+
"int_dtype": "int64",
|
| 36 |
+
"model_type": "albert",
|
| 37 |
+
"optlevel": "2",
|
| 38 |
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"output_attentions": false,
|
| 39 |
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"output_hidden_states": false,
|
| 40 |
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|
| 41 |
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"logits"
|
| 42 |
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],
|
| 43 |
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"static_batch_size": 1,
|
| 44 |
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"static_sequence_length": 128,
|
| 45 |
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"task": "fill-mask",
|
| 46 |
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|
| 47 |
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},
|
| 48 |
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|
| 49 |
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|
| 50 |
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"num_hidden_layers": 6,
|
| 51 |
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"position_embedding_type": "absolute",
|
| 52 |
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|
| 53 |
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"vocab_size": 30000
|
| 54 |
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/albert/hf-internal-testing/tiny-random-AlbertModel/19ebb6a6a5ec909e86f1.json
ADDED
|
@@ -0,0 +1,55 @@
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-AlbertModel",
|
| 4 |
+
"_task": "feature-extraction",
|
| 5 |
+
"architectures": [
|
| 6 |
+
"AlbertModel"
|
| 7 |
+
],
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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"max_position_embeddings": 512,
|
| 19 |
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"model_type": "albert",
|
| 20 |
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"neuron": {
|
| 21 |
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|
| 22 |
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|
| 23 |
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"compiler_type": "neuronx-cc",
|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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"inline_weights_to_neff": true,
|
| 30 |
+
"input_names": [
|
| 31 |
+
"input_ids",
|
| 32 |
+
"attention_mask",
|
| 33 |
+
"token_type_ids"
|
| 34 |
+
],
|
| 35 |
+
"int_dtype": "int64",
|
| 36 |
+
"model_type": "albert",
|
| 37 |
+
"optlevel": "2",
|
| 38 |
+
"output_attentions": false,
|
| 39 |
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"output_hidden_states": false,
|
| 40 |
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"output_names": [
|
| 41 |
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"last_hidden_state",
|
| 42 |
+
"pooler_output"
|
| 43 |
+
],
|
| 44 |
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"static_batch_size": 1,
|
| 45 |
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"static_sequence_length": 32,
|
| 46 |
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"task": "feature-extraction",
|
| 47 |
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|
| 48 |
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},
|
| 49 |
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"num_attention_heads": 6,
|
| 50 |
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"num_hidden_groups": 6,
|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/albert/hf-internal-testing/tiny-random-AlbertModel/1e1cab9afee16970464a.json
ADDED
|
@@ -0,0 +1,55 @@
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|
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|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-AlbertModel",
|
| 4 |
+
"_task": "question-answering",
|
| 5 |
+
"architectures": [
|
| 6 |
+
"AlbertModel"
|
| 7 |
+
],
|
| 8 |
+
"attention_probs_dropout_prob": 0.1,
|
| 9 |
+
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|
| 10 |
+
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|
| 11 |
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|
| 12 |
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|
| 13 |
+
"hidden_size": 36,
|
| 14 |
+
"initializer_range": 0.02,
|
| 15 |
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"inner_group_num": 1,
|
| 16 |
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"intermediate_size": 37,
|
| 17 |
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|
| 18 |
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"max_position_embeddings": 512,
|
| 19 |
+
"model_type": "albert",
|
| 20 |
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"neuron": {
|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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"disable_fast_relayout": false,
|
| 27 |
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|
| 28 |
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"float_dtype": "fp32",
|
| 29 |
+
"inline_weights_to_neff": true,
|
| 30 |
+
"input_names": [
|
| 31 |
+
"input_ids",
|
| 32 |
+
"attention_mask",
|
| 33 |
+
"token_type_ids"
|
| 34 |
+
],
|
| 35 |
+
"int_dtype": "int64",
|
| 36 |
+
"model_type": "albert",
|
| 37 |
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"optlevel": "2",
|
| 38 |
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"output_attentions": false,
|
| 39 |
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|
| 40 |
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"output_names": [
|
| 41 |
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"start_logits",
|
| 42 |
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"end_logits"
|
| 43 |
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],
|
| 44 |
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"static_batch_size": 1,
|
| 45 |
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"static_sequence_length": 32,
|
| 46 |
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|
| 47 |
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|
| 48 |
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},
|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/albert/hf-internal-testing/tiny-random-AlbertModel/2420b2b633bc1e938403.json
ADDED
|
@@ -0,0 +1,54 @@
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|
|
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|
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|
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|
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|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-AlbertModel",
|
| 4 |
+
"_task": "text-classification",
|
| 5 |
+
"architectures": [
|
| 6 |
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"AlbertModel"
|
| 7 |
+
],
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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"max_position_embeddings": 512,
|
| 19 |
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"model_type": "albert",
|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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| 25 |
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|
| 26 |
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|
| 27 |
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"dynamic_batch_size": false,
|
| 28 |
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"float_dtype": "fp32",
|
| 29 |
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"inline_weights_to_neff": true,
|
| 30 |
+
"input_names": [
|
| 31 |
+
"input_ids",
|
| 32 |
+
"attention_mask",
|
| 33 |
+
"token_type_ids"
|
| 34 |
+
],
|
| 35 |
+
"int_dtype": "int64",
|
| 36 |
+
"model_type": "albert",
|
| 37 |
+
"optlevel": "2",
|
| 38 |
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"output_attentions": false,
|
| 39 |
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"output_hidden_states": false,
|
| 40 |
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"output_names": [
|
| 41 |
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"logits"
|
| 42 |
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],
|
| 43 |
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"static_batch_size": 1,
|
| 44 |
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"static_sequence_length": 32,
|
| 45 |
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"task": "text-classification",
|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/albert/hf-internal-testing/tiny-random-AlbertModel/3585a8b7eec15ef74cc9.json
ADDED
|
@@ -0,0 +1,55 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-AlbertModel",
|
| 4 |
+
"_task": "multiple-choice",
|
| 5 |
+
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|
| 6 |
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"AlbertModel"
|
| 7 |
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],
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
+
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|
| 30 |
+
"input_names": [
|
| 31 |
+
"input_ids",
|
| 32 |
+
"attention_mask",
|
| 33 |
+
"token_type_ids"
|
| 34 |
+
],
|
| 35 |
+
"int_dtype": "int64",
|
| 36 |
+
"model_type": "albert",
|
| 37 |
+
"optlevel": "2",
|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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"logits"
|
| 42 |
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|
| 43 |
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|
| 44 |
+
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/albert/hf-internal-testing/tiny-random-AlbertModel/4d038e1c09d623b63731.json
ADDED
|
@@ -0,0 +1,55 @@
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|
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|
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|
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|
|
|
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|
|
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|
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|
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|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-AlbertModel",
|
| 4 |
+
"_task": "feature-extraction",
|
| 5 |
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|
| 6 |
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"AlbertModel"
|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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"max_position_embeddings": 512,
|
| 19 |
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"model_type": "albert",
|
| 20 |
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|
| 21 |
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|
| 22 |
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| 23 |
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|
| 24 |
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| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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"input_names": [
|
| 31 |
+
"input_ids",
|
| 32 |
+
"attention_mask",
|
| 33 |
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"token_type_ids"
|
| 34 |
+
],
|
| 35 |
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"int_dtype": "int64",
|
| 36 |
+
"model_type": "albert",
|
| 37 |
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"optlevel": "2",
|
| 38 |
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"output_attentions": false,
|
| 39 |
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|
| 40 |
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"output_names": [
|
| 41 |
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"last_hidden_state",
|
| 42 |
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"pooler_output"
|
| 43 |
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],
|
| 44 |
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"static_batch_size": 1,
|
| 45 |
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"static_sequence_length": 128,
|
| 46 |
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"task": "feature-extraction",
|
| 47 |
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|
| 48 |
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},
|
| 49 |
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|
| 50 |
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"num_hidden_groups": 6,
|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/albert/hf-internal-testing/tiny-random-AlbertModel/59c92a651b8b40190b9d.json
ADDED
|
@@ -0,0 +1,54 @@
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|
|
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|
|
|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
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"_model_id": "hf-internal-testing/tiny-random-AlbertModel",
|
| 4 |
+
"_task": "token-classification",
|
| 5 |
+
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|
| 6 |
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"AlbertModel"
|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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"model_type": "albert",
|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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"input_ids",
|
| 32 |
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"attention_mask",
|
| 33 |
+
"token_type_ids"
|
| 34 |
+
],
|
| 35 |
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"int_dtype": "int64",
|
| 36 |
+
"model_type": "albert",
|
| 37 |
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"optlevel": "2",
|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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"logits"
|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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"task": "token-classification",
|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/albert/hf-internal-testing/tiny-random-AlbertModel/707d5fc3c98b3c204500.json
ADDED
|
@@ -0,0 +1,54 @@
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|
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|
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|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"_entry_class": "SingleModelCacheEntry",
|
| 3 |
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"_model_id": "hf-internal-testing/tiny-random-AlbertModel",
|
| 4 |
+
"_task": "fill-mask",
|
| 5 |
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|
| 6 |
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"AlbertModel"
|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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"input_names": [
|
| 31 |
+
"input_ids",
|
| 32 |
+
"attention_mask",
|
| 33 |
+
"token_type_ids"
|
| 34 |
+
],
|
| 35 |
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"int_dtype": "int64",
|
| 36 |
+
"model_type": "albert",
|
| 37 |
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"optlevel": "2",
|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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"logits"
|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
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| 54 |
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/albert/hf-internal-testing/tiny-random-AlbertModel/8829976eff976b676195.json
ADDED
|
@@ -0,0 +1,54 @@
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|
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|
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|
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|
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|
|
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|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-AlbertModel",
|
| 4 |
+
"_task": "token-classification",
|
| 5 |
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"architectures": [
|
| 6 |
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"AlbertModel"
|
| 7 |
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| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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"float_dtype": "fp32",
|
| 29 |
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"inline_weights_to_neff": true,
|
| 30 |
+
"input_names": [
|
| 31 |
+
"input_ids",
|
| 32 |
+
"attention_mask",
|
| 33 |
+
"token_type_ids"
|
| 34 |
+
],
|
| 35 |
+
"int_dtype": "int64",
|
| 36 |
+
"model_type": "albert",
|
| 37 |
+
"optlevel": "2",
|
| 38 |
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|
| 39 |
+
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|
| 40 |
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"output_names": [
|
| 41 |
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"logits"
|
| 42 |
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],
|
| 43 |
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"static_batch_size": 1,
|
| 44 |
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|
| 45 |
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"task": "token-classification",
|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/albert/hf-internal-testing/tiny-random-AlbertModel/903f2ac3444c8203b948.json
ADDED
|
@@ -0,0 +1,54 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-AlbertModel",
|
| 4 |
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"_task": "fill-mask",
|
| 5 |
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|
| 6 |
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"AlbertModel"
|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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"model_type": "albert",
|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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"inline_weights_to_neff": true,
|
| 30 |
+
"input_names": [
|
| 31 |
+
"input_ids",
|
| 32 |
+
"attention_mask",
|
| 33 |
+
"token_type_ids"
|
| 34 |
+
],
|
| 35 |
+
"int_dtype": "int64",
|
| 36 |
+
"model_type": "albert",
|
| 37 |
+
"optlevel": "2",
|
| 38 |
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|
| 39 |
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"output_hidden_states": false,
|
| 40 |
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|
| 41 |
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"logits"
|
| 42 |
+
],
|
| 43 |
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|
| 44 |
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"static_sequence_length": 32,
|
| 45 |
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"task": "fill-mask",
|
| 46 |
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|
| 47 |
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},
|
| 48 |
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"num_attention_heads": 6,
|
| 49 |
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"num_hidden_groups": 6,
|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/albert/hf-internal-testing/tiny-random-AlbertModel/9b69ad26e6071c069631.json
ADDED
|
@@ -0,0 +1,55 @@
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-AlbertModel",
|
| 4 |
+
"_task": "question-answering",
|
| 5 |
+
"architectures": [
|
| 6 |
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"AlbertModel"
|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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"max_position_embeddings": 512,
|
| 19 |
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"model_type": "albert",
|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
+
"input_names": [
|
| 31 |
+
"input_ids",
|
| 32 |
+
"attention_mask",
|
| 33 |
+
"token_type_ids"
|
| 34 |
+
],
|
| 35 |
+
"int_dtype": "int64",
|
| 36 |
+
"model_type": "albert",
|
| 37 |
+
"optlevel": "2",
|
| 38 |
+
"output_attentions": false,
|
| 39 |
+
"output_hidden_states": false,
|
| 40 |
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"output_names": [
|
| 41 |
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"start_logits",
|
| 42 |
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"end_logits"
|
| 43 |
+
],
|
| 44 |
+
"static_batch_size": 1,
|
| 45 |
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"static_sequence_length": 128,
|
| 46 |
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"task": "question-answering",
|
| 47 |
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"tensor_parallel_size": 1
|
| 48 |
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},
|
| 49 |
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"num_attention_heads": 6,
|
| 50 |
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"num_hidden_groups": 6,
|
| 51 |
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"num_hidden_layers": 6,
|
| 52 |
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"position_embedding_type": "absolute",
|
| 53 |
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|
| 54 |
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|
| 55 |
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/albert/hf-internal-testing/tiny-random-AlbertModel/aa7706c37f42f9b0efa0.json
ADDED
|
@@ -0,0 +1,54 @@
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|
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|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-AlbertModel",
|
| 4 |
+
"_task": "token-classification",
|
| 5 |
+
"architectures": [
|
| 6 |
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"AlbertModel"
|
| 7 |
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],
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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"model_type": "albert",
|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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"inline_weights_to_neff": true,
|
| 30 |
+
"input_names": [
|
| 31 |
+
"input_ids",
|
| 32 |
+
"attention_mask",
|
| 33 |
+
"token_type_ids"
|
| 34 |
+
],
|
| 35 |
+
"int_dtype": "int64",
|
| 36 |
+
"model_type": "albert",
|
| 37 |
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"optlevel": "2",
|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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"logits"
|
| 42 |
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],
|
| 43 |
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|
| 44 |
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"static_sequence_length": 32,
|
| 45 |
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"task": "token-classification",
|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/albert/hf-internal-testing/tiny-random-AlbertModel/b5b638607d26526724c7.json
ADDED
|
@@ -0,0 +1,54 @@
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|
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|
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|
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|
|
|
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|
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|
|
|
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|
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|
|
|
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|
|
|
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|
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|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-AlbertModel",
|
| 4 |
+
"_task": "text-classification",
|
| 5 |
+
"architectures": [
|
| 6 |
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"AlbertModel"
|
| 7 |
+
],
|
| 8 |
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|
| 9 |
+
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
+
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
+
"model_type": "albert",
|
| 20 |
+
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
+
"inline_weights_to_neff": true,
|
| 30 |
+
"input_names": [
|
| 31 |
+
"input_ids",
|
| 32 |
+
"attention_mask",
|
| 33 |
+
"token_type_ids"
|
| 34 |
+
],
|
| 35 |
+
"int_dtype": "int64",
|
| 36 |
+
"model_type": "albert",
|
| 37 |
+
"optlevel": "2",
|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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"logits"
|
| 42 |
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],
|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/albert/hf-internal-testing/tiny-random-AlbertModel/ce96b3b9bef1f6cf0d93.json
ADDED
|
@@ -0,0 +1,55 @@
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|
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|
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|
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|
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|
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|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-AlbertModel",
|
| 4 |
+
"_task": "question-answering",
|
| 5 |
+
"architectures": [
|
| 6 |
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"AlbertModel"
|
| 7 |
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],
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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"model_type": "albert",
|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
+
"input_names": [
|
| 31 |
+
"input_ids",
|
| 32 |
+
"attention_mask",
|
| 33 |
+
"token_type_ids"
|
| 34 |
+
],
|
| 35 |
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"int_dtype": "int64",
|
| 36 |
+
"model_type": "albert",
|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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"start_logits",
|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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"type_vocab_size": 16,
|
| 54 |
+
"vocab_size": 30000
|
| 55 |
+
}
|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/albert/hf-internal-testing/tiny-random-AlbertModel/cf3a4b3035690a565ab1.json
ADDED
|
@@ -0,0 +1,55 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
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|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-AlbertModel",
|
| 4 |
+
"_task": "feature-extraction",
|
| 5 |
+
"architectures": [
|
| 6 |
+
"AlbertModel"
|
| 7 |
+
],
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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"layer_norm_eps": 1e-12,
|
| 18 |
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"max_position_embeddings": 512,
|
| 19 |
+
"model_type": "albert",
|
| 20 |
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"neuron": {
|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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"disable_fast_relayout": false,
|
| 27 |
+
"dynamic_batch_size": false,
|
| 28 |
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"float_dtype": "fp32",
|
| 29 |
+
"inline_weights_to_neff": true,
|
| 30 |
+
"input_names": [
|
| 31 |
+
"input_ids",
|
| 32 |
+
"attention_mask",
|
| 33 |
+
"token_type_ids"
|
| 34 |
+
],
|
| 35 |
+
"int_dtype": "int64",
|
| 36 |
+
"model_type": "albert",
|
| 37 |
+
"optlevel": "2",
|
| 38 |
+
"output_attentions": false,
|
| 39 |
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"output_hidden_states": false,
|
| 40 |
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"output_names": [
|
| 41 |
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"last_hidden_state",
|
| 42 |
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"pooler_output"
|
| 43 |
+
],
|
| 44 |
+
"static_batch_size": 1,
|
| 45 |
+
"static_sequence_length": 32,
|
| 46 |
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"task": "feature-extraction",
|
| 47 |
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|
| 48 |
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},
|
| 49 |
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"num_attention_heads": 6,
|
| 50 |
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"num_hidden_groups": 6,
|
| 51 |
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"num_hidden_layers": 6,
|
| 52 |
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"position_embedding_type": "absolute",
|
| 53 |
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"type_vocab_size": 16,
|
| 54 |
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"vocab_size": 30000
|
| 55 |
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}
|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/albert/hf-internal-testing/tiny-random-AlbertModel/d2da3177c42e88297899.json
ADDED
|
@@ -0,0 +1,55 @@
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|
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|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-AlbertModel",
|
| 4 |
+
"_task": "multiple-choice",
|
| 5 |
+
"architectures": [
|
| 6 |
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"AlbertModel"
|
| 7 |
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],
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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"initializer_range": 0.02,
|
| 15 |
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"inner_group_num": 1,
|
| 16 |
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|
| 17 |
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"layer_norm_eps": 1e-12,
|
| 18 |
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"max_position_embeddings": 512,
|
| 19 |
+
"model_type": "albert",
|
| 20 |
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"neuron": {
|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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"dynamic_batch_size": false,
|
| 28 |
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"float_dtype": "fp32",
|
| 29 |
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"inline_weights_to_neff": true,
|
| 30 |
+
"input_names": [
|
| 31 |
+
"input_ids",
|
| 32 |
+
"attention_mask",
|
| 33 |
+
"token_type_ids"
|
| 34 |
+
],
|
| 35 |
+
"int_dtype": "int64",
|
| 36 |
+
"model_type": "albert",
|
| 37 |
+
"optlevel": "2",
|
| 38 |
+
"output_attentions": false,
|
| 39 |
+
"output_hidden_states": false,
|
| 40 |
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"output_names": [
|
| 41 |
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"logits"
|
| 42 |
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],
|
| 43 |
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"static_batch_size": 1,
|
| 44 |
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"static_num_choices": 4,
|
| 45 |
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"static_sequence_length": 128,
|
| 46 |
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"task": "multiple-choice",
|
| 47 |
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|
| 48 |
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},
|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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"vocab_size": 30000
|
| 55 |
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}
|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/albert/hf-internal-testing/tiny-random-AlbertModel/e59dd1535caa6a29b4cc.json
ADDED
|
@@ -0,0 +1,54 @@
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|
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|
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|
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|
|
|
|
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|
|
|
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|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
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"_model_id": "hf-internal-testing/tiny-random-AlbertModel",
|
| 4 |
+
"_task": "text-classification",
|
| 5 |
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"architectures": [
|
| 6 |
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"AlbertModel"
|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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| 23 |
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|
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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"input_names": [
|
| 31 |
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"input_ids",
|
| 32 |
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"attention_mask",
|
| 33 |
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"token_type_ids"
|
| 34 |
+
],
|
| 35 |
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"int_dtype": "int64",
|
| 36 |
+
"model_type": "albert",
|
| 37 |
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"optlevel": "2",
|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/beit/hf-internal-testing/tiny-random-BeitForImageClassification/7b8399664c54026a03ff.json
ADDED
|
@@ -0,0 +1,90 @@
|
|
|
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|
|
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|
|
|
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|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
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|
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|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
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|
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|
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|
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|
|
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|
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|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"_entry_class": "SingleModelCacheEntry",
|
| 3 |
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|
| 4 |
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"_task": "image-classification",
|
| 5 |
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|
| 6 |
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|
| 7 |
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"BeitForImageClassification"
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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| 14 |
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| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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6
|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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"stage2",
|
| 80 |
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"stage3",
|
| 81 |
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"stage4"
|
| 82 |
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],
|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/beit/hf-internal-testing/tiny-random-BeitForImageClassification/8eea34f80bdd528f4c47.json
ADDED
|
@@ -0,0 +1,90 @@
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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| 1 |
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|
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|
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| 50 |
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|
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| 78 |
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| 79 |
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| 80 |
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|
| 81 |
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|
| 82 |
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| 83 |
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neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/bert/Jingya/tiny-random-bert-remote-code/601076bf2990d898404b.json
ADDED
|
@@ -0,0 +1,52 @@
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|
| 1 |
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{
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 7 |
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|
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| 17 |
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| 21 |
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| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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"input_ids",
|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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| 39 |
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| 41 |
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| 42 |
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|
| 43 |
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| 44 |
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| 45 |
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| 46 |
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|
| 47 |
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| 48 |
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neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/bert/fxmarty/tiny-bert-sst2-distilled-subfolder/d7d576d06e1491d72e5a.json
ADDED
|
@@ -0,0 +1,61 @@
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|
| 1 |
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{
|
| 2 |
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"_entry_class": "SingleModelCacheEntry",
|
| 3 |
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| 4 |
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|
| 5 |
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|
| 6 |
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| 7 |
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| 8 |
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|
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|
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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| 29 |
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| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 48 |
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|
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 60 |
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neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/bert/hf-internal-testing/tiny-random-BertModel/07d9dac237105afed7b4.json
ADDED
|
@@ -0,0 +1,52 @@
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|
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|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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| 8 |
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|
| 9 |
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|
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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| 18 |
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|
| 22 |
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|
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 43 |
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| 45 |
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|
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/bert/hf-internal-testing/tiny-random-BertModel/0d7dca7e1b02d11fa30b.json
ADDED
|
@@ -0,0 +1,52 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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| 10 |
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|
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|
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|
| 17 |
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|
| 18 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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"input_ids",
|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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| 39 |
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|
| 42 |
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|
| 43 |
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| 44 |
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neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/bert/hf-internal-testing/tiny-random-BertModel/22ce2cce0b08d134021c.json
ADDED
|
@@ -0,0 +1,53 @@
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|
|
|
|
|
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|
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|
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|
|
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|
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|
|
|
|
|
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|
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|
|
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|
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|
|
|
|
|
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|
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|
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|
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|
| 1 |
+
{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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|
| 12 |
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|
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| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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| 19 |
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| 20 |
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| 21 |
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|
| 22 |
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| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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"input_ids",
|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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| 49 |
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| 50 |
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|
| 51 |
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| 53 |
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neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/bert/hf-internal-testing/tiny-random-BertModel/28bcefedc9caadd676ab.json
ADDED
|
@@ -0,0 +1,53 @@
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|
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|
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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| 6 |
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|
| 13 |
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| 14 |
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|
| 15 |
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|
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|
| 17 |
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|
| 18 |
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| 19 |
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| 26 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
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| 43 |
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|
| 44 |
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|
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neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/bert/hf-internal-testing/tiny-random-BertModel/3908bf519c210b434176.json
ADDED
|
@@ -0,0 +1,53 @@
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|
| 1 |
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|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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| 9 |
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|
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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| 20 |
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| 21 |
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|
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
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neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/bert/hf-internal-testing/tiny-random-BertModel/5ead9d705b13f37e716b.json
ADDED
|
@@ -0,0 +1,52 @@
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|
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|
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|
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|
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|
|
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|
|
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|
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|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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| 9 |
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|
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|
| 15 |
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|
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|
| 17 |
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|
| 18 |
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|
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|
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| 21 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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"input_ids",
|
| 30 |
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|
| 31 |
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"token_type_ids"
|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
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|
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|
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neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/bert/hf-internal-testing/tiny-random-BertModel/80c925bab2fcc5749b91.json
ADDED
|
@@ -0,0 +1,53 @@
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
+
"input_ids",
|
| 30 |
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"attention_mask",
|
| 31 |
+
"token_type_ids"
|
| 32 |
+
],
|
| 33 |
+
"int_dtype": "int64",
|
| 34 |
+
"model_type": "bert",
|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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"start_logits",
|
| 40 |
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|
| 41 |
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|
| 42 |
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"static_batch_size": 1,
|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/bert/hf-internal-testing/tiny-random-BertModel/92f51980d46489605055.json
ADDED
|
@@ -0,0 +1,52 @@
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|
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|
|
|
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|
|
|
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|
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|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-BertModel",
|
| 4 |
+
"_task": "text-classification",
|
| 5 |
+
"architectures": [
|
| 6 |
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"BertModel"
|
| 7 |
+
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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"model_type": "bert",
|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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"input_names": [
|
| 29 |
+
"input_ids",
|
| 30 |
+
"attention_mask",
|
| 31 |
+
"token_type_ids"
|
| 32 |
+
],
|
| 33 |
+
"int_dtype": "int64",
|
| 34 |
+
"model_type": "bert",
|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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"output_names": [
|
| 39 |
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"logits"
|
| 40 |
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],
|
| 41 |
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"static_batch_size": 1,
|
| 42 |
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"static_sequence_length": 128,
|
| 43 |
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"task": "text-classification",
|
| 44 |
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|
| 45 |
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},
|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/bert/hf-internal-testing/tiny-random-BertModel/aeebf3f56cf9d0ed0250.json
ADDED
|
@@ -0,0 +1,52 @@
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|
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|
|
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|
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|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-BertModel",
|
| 4 |
+
"_task": "token-classification",
|
| 5 |
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|
| 6 |
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"BertModel"
|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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"model_type": "bert",
|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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"input_ids",
|
| 30 |
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|
| 31 |
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"token_type_ids"
|
| 32 |
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],
|
| 33 |
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"int_dtype": "int64",
|
| 34 |
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"model_type": "bert",
|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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"logits"
|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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"task": "token-classification",
|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/bert/hf-internal-testing/tiny-random-BertModel/cfb94bae5629e275593f.json
ADDED
|
@@ -0,0 +1,53 @@
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|
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|
|
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|
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|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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"input_ids",
|
| 30 |
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"attention_mask",
|
| 31 |
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"token_type_ids"
|
| 32 |
+
],
|
| 33 |
+
"int_dtype": "int64",
|
| 34 |
+
"model_type": "bert",
|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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"last_hidden_state",
|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/bert/hf-internal-testing/tiny-random-BertModel/e050716b5de372871d73.json
ADDED
|
@@ -0,0 +1,52 @@
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
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|
| 4 |
+
"_task": "token-classification",
|
| 5 |
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|
| 6 |
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"BertModel"
|
| 7 |
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| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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"input_ids",
|
| 30 |
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|
| 31 |
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"token_type_ids"
|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
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|
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|
| 48 |
+
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|
| 49 |
+
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/bert/hf-internal-testing/tiny-random-BertModel/e0768f223c51e12fd868.json
ADDED
|
@@ -0,0 +1,52 @@
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
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|
|
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|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-BertModel",
|
| 4 |
+
"_task": "fill-mask",
|
| 5 |
+
"architectures": [
|
| 6 |
+
"BertModel"
|
| 7 |
+
],
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
+
"model_type": "bert",
|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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"compiler_version": "2.19.8089.0+8ab9f450",
|
| 23 |
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|
| 24 |
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|
| 25 |
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"dynamic_batch_size": true,
|
| 26 |
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"float_dtype": "fp32",
|
| 27 |
+
"inline_weights_to_neff": true,
|
| 28 |
+
"input_names": [
|
| 29 |
+
"input_ids",
|
| 30 |
+
"attention_mask",
|
| 31 |
+
"token_type_ids"
|
| 32 |
+
],
|
| 33 |
+
"int_dtype": "int64",
|
| 34 |
+
"model_type": "bert",
|
| 35 |
+
"optlevel": "2",
|
| 36 |
+
"output_attentions": false,
|
| 37 |
+
"output_hidden_states": false,
|
| 38 |
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"output_names": [
|
| 39 |
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"logits"
|
| 40 |
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],
|
| 41 |
+
"static_batch_size": 1,
|
| 42 |
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"static_sequence_length": 32,
|
| 43 |
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"task": "fill-mask",
|
| 44 |
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|
| 45 |
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},
|
| 46 |
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"num_attention_heads": 4,
|
| 47 |
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|
| 48 |
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"position_embedding_type": "absolute",
|
| 49 |
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"type_vocab_size": 16,
|
| 50 |
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|
| 51 |
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|
| 52 |
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/bert/hf-internal-testing/tiny-random-BertModel/e2594a1f187f452902f7.json
ADDED
|
@@ -0,0 +1,52 @@
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|
|
|
|
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|
|
|
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|
|
|
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-BertModel",
|
| 4 |
+
"_task": "fill-mask",
|
| 5 |
+
"architectures": [
|
| 6 |
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"BertModel"
|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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"model_type": "bert",
|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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"float_dtype": "fp32",
|
| 27 |
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|
| 28 |
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"input_names": [
|
| 29 |
+
"input_ids",
|
| 30 |
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"attention_mask",
|
| 31 |
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"token_type_ids"
|
| 32 |
+
],
|
| 33 |
+
"int_dtype": "int64",
|
| 34 |
+
"model_type": "bert",
|
| 35 |
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"optlevel": "2",
|
| 36 |
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"output_attentions": false,
|
| 37 |
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"output_hidden_states": false,
|
| 38 |
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"output_names": [
|
| 39 |
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"logits"
|
| 40 |
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],
|
| 41 |
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"static_batch_size": 1,
|
| 42 |
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"static_sequence_length": 128,
|
| 43 |
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"task": "fill-mask",
|
| 44 |
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|
| 45 |
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},
|
| 46 |
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"num_attention_heads": 4,
|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/bert/hf-internal-testing/tiny-random-BertModel/e4834fd951418b796374.json
ADDED
|
@@ -0,0 +1,53 @@
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
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"_model_id": "hf-internal-testing/tiny-random-BertModel",
|
| 4 |
+
"_task": "multiple-choice",
|
| 5 |
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|
| 6 |
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"BertModel"
|
| 7 |
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| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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"model_type": "bert",
|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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"input_ids",
|
| 30 |
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|
| 31 |
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"token_type_ids"
|
| 32 |
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],
|
| 33 |
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"int_dtype": "int64",
|
| 34 |
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"model_type": "bert",
|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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| 53 |
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neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/bert/hf-internal-testing/tiny-random-BertModel/e7e71e6beffbf701391b.json
ADDED
|
@@ -0,0 +1,53 @@
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|
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|
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|
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|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"_entry_class": "SingleModelCacheEntry",
|
| 3 |
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|
| 4 |
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|
| 5 |
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| 6 |
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| 7 |
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| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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| 23 |
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|
| 24 |
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|
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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"input_ids",
|
| 30 |
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"attention_mask",
|
| 31 |
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"token_type_ids"
|
| 32 |
+
],
|
| 33 |
+
"int_dtype": "int64",
|
| 34 |
+
"model_type": "bert",
|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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"output_names": [
|
| 39 |
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"start_logits",
|
| 40 |
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|
| 41 |
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],
|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/bert/hf-internal-testing/tiny-random-BertModel/ea81a963f6aa67da9f09.json
ADDED
|
@@ -0,0 +1,53 @@
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|
|
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|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
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|
| 4 |
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"_task": "question-answering",
|
| 5 |
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|
| 6 |
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"BertModel"
|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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"input_ids",
|
| 30 |
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"attention_mask",
|
| 31 |
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"token_type_ids"
|
| 32 |
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|
| 33 |
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|
| 34 |
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"model_type": "bert",
|
| 35 |
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|
| 36 |
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|
| 37 |
+
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|
| 38 |
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|
| 39 |
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"start_logits",
|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/bert/hf-internal-testing/tiny-random-BertModel/ef32dca934503ba9400c.json
ADDED
|
@@ -0,0 +1,52 @@
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|
|
|
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|
|
|
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|
|
|
|
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|
|
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|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
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"_model_id": "hf-internal-testing/tiny-random-BertModel",
|
| 4 |
+
"_task": "token-classification",
|
| 5 |
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|
| 6 |
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"BertModel"
|
| 7 |
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| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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"input_names": [
|
| 29 |
+
"input_ids",
|
| 30 |
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|
| 31 |
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"token_type_ids"
|
| 32 |
+
],
|
| 33 |
+
"int_dtype": "int64",
|
| 34 |
+
"model_type": "bert",
|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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"output_names": [
|
| 39 |
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"logits"
|
| 40 |
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],
|
| 41 |
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"static_batch_size": 1,
|
| 42 |
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"static_sequence_length": 32,
|
| 43 |
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"task": "token-classification",
|
| 44 |
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|
| 45 |
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},
|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/bert/hf-internal-testing/tiny-random-BertModel/f15944a91bf873bc4059.json
ADDED
|
@@ -0,0 +1,52 @@
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|
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|
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|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-BertModel",
|
| 4 |
+
"_task": "text-classification",
|
| 5 |
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| 6 |
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"BertModel"
|
| 7 |
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| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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"input_ids",
|
| 30 |
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|
| 31 |
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"token_type_ids"
|
| 32 |
+
],
|
| 33 |
+
"int_dtype": "int64",
|
| 34 |
+
"model_type": "bert",
|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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"logits"
|
| 40 |
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],
|
| 41 |
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|
| 42 |
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"static_sequence_length": 32,
|
| 43 |
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"task": "text-classification",
|
| 44 |
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|
| 45 |
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},
|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/bert/sentence-transformers/all-MiniLM-L6-v2/b571d0d9ac9ad084fa8c.json
ADDED
|
@@ -0,0 +1,54 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
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"_model_id": "sentence-transformers/all-MiniLM-L6-v2",
|
| 4 |
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|
| 5 |
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"architectures": [
|
| 6 |
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"BertModel"
|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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"model_type": "bert",
|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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"input_ids",
|
| 32 |
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"attention_mask"
|
| 33 |
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],
|
| 34 |
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"int_dtype": "int64",
|
| 35 |
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"model_type": "transformer",
|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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"token_embeddings",
|
| 41 |
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"sentence_embedding"
|
| 42 |
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],
|
| 43 |
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"static_batch_size": 1,
|
| 44 |
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"static_sequence_length": 16,
|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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| 54 |
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neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/bert/sentence-transformers/all-MiniLM-L6-v2/f99a0822ae493faf0bb5.json
ADDED
|
@@ -0,0 +1,54 @@
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"_entry_class": "SingleModelCacheEntry",
|
| 3 |
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"_model_id": "sentence-transformers/all-MiniLM-L6-v2",
|
| 4 |
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|
| 5 |
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|
| 6 |
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"BertModel"
|
| 7 |
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| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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| 23 |
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| 24 |
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| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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"float_dtype": "fp32",
|
| 29 |
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"inline_weights_to_neff": true,
|
| 30 |
+
"input_names": [
|
| 31 |
+
"input_ids",
|
| 32 |
+
"attention_mask"
|
| 33 |
+
],
|
| 34 |
+
"int_dtype": "int64",
|
| 35 |
+
"model_type": "transformer",
|
| 36 |
+
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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"token_embeddings",
|
| 41 |
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"sentence_embedding"
|
| 42 |
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],
|
| 43 |
+
"static_batch_size": 1,
|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/camembert/hf-internal-testing/tiny-random-camembert/16650c04744503a0af47.json
ADDED
|
@@ -0,0 +1,52 @@
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|
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|
|
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|
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|
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|
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|
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|
|
|
|
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|
|
|
|
|
|
|
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|
|
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|
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|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
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"_model_id": "hf-internal-testing/tiny-random-camembert",
|
| 4 |
+
"_task": "token-classification",
|
| 5 |
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|
| 6 |
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"CamembertModel"
|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
+
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|
| 24 |
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|
| 25 |
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|
| 26 |
+
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|
| 27 |
+
"float_dtype": "fp32",
|
| 28 |
+
"inline_weights_to_neff": true,
|
| 29 |
+
"input_names": [
|
| 30 |
+
"input_ids",
|
| 31 |
+
"attention_mask"
|
| 32 |
+
],
|
| 33 |
+
"int_dtype": "int64",
|
| 34 |
+
"model_type": "camembert",
|
| 35 |
+
"optlevel": "2",
|
| 36 |
+
"output_attentions": false,
|
| 37 |
+
"output_hidden_states": false,
|
| 38 |
+
"output_names": [
|
| 39 |
+
"logits"
|
| 40 |
+
],
|
| 41 |
+
"static_batch_size": 1,
|
| 42 |
+
"static_sequence_length": 32,
|
| 43 |
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"task": "token-classification",
|
| 44 |
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|
| 45 |
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|
| 46 |
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"num_attention_heads": 4,
|
| 47 |
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|
| 48 |
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"position_embedding_type": "absolute",
|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/camembert/hf-internal-testing/tiny-random-camembert/3d5fe21de242b8b602d5.json
ADDED
|
@@ -0,0 +1,52 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-camembert",
|
| 4 |
+
"_task": "fill-mask",
|
| 5 |
+
"architectures": [
|
| 6 |
+
"CamembertModel"
|
| 7 |
+
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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"initializer_range": 0.02,
|
| 15 |
+
"intermediate_size": 37,
|
| 16 |
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"layer_norm_eps": 1e-12,
|
| 17 |
+
"max_position_embeddings": 512,
|
| 18 |
+
"model_type": "camembert",
|
| 19 |
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"neuron": {
|
| 20 |
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|
| 21 |
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|
| 22 |
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"compiler_type": "neuronx-cc",
|
| 23 |
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|
| 24 |
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|
| 25 |
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"disable_fast_relayout": false,
|
| 26 |
+
"dynamic_batch_size": true,
|
| 27 |
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"float_dtype": "fp32",
|
| 28 |
+
"inline_weights_to_neff": true,
|
| 29 |
+
"input_names": [
|
| 30 |
+
"input_ids",
|
| 31 |
+
"attention_mask"
|
| 32 |
+
],
|
| 33 |
+
"int_dtype": "int64",
|
| 34 |
+
"model_type": "camembert",
|
| 35 |
+
"optlevel": "2",
|
| 36 |
+
"output_attentions": false,
|
| 37 |
+
"output_hidden_states": false,
|
| 38 |
+
"output_names": [
|
| 39 |
+
"logits"
|
| 40 |
+
],
|
| 41 |
+
"static_batch_size": 1,
|
| 42 |
+
"static_sequence_length": 32,
|
| 43 |
+
"task": "fill-mask",
|
| 44 |
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"tensor_parallel_size": 1
|
| 45 |
+
},
|
| 46 |
+
"num_attention_heads": 4,
|
| 47 |
+
"num_hidden_layers": 5,
|
| 48 |
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"position_embedding_type": "absolute",
|
| 49 |
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"type_vocab_size": 16,
|
| 50 |
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"use_cache": true,
|
| 51 |
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"vocab_size": 1000
|
| 52 |
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/camembert/hf-internal-testing/tiny-random-camembert/4b4a4fbbe9d668bcf61e.json
ADDED
|
@@ -0,0 +1,52 @@
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-camembert",
|
| 4 |
+
"_task": "token-classification",
|
| 5 |
+
"architectures": [
|
| 6 |
+
"CamembertModel"
|
| 7 |
+
],
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
+
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|
| 14 |
+
"initializer_range": 0.02,
|
| 15 |
+
"intermediate_size": 37,
|
| 16 |
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"layer_norm_eps": 1e-12,
|
| 17 |
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"max_position_embeddings": 512,
|
| 18 |
+
"model_type": "camembert",
|
| 19 |
+
"neuron": {
|
| 20 |
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|
| 21 |
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|
| 22 |
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"compiler_type": "neuronx-cc",
|
| 23 |
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"compiler_version": "2.19.8089.0+8ab9f450",
|
| 24 |
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|
| 25 |
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|
| 26 |
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"dynamic_batch_size": true,
|
| 27 |
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"float_dtype": "fp32",
|
| 28 |
+
"inline_weights_to_neff": true,
|
| 29 |
+
"input_names": [
|
| 30 |
+
"input_ids",
|
| 31 |
+
"attention_mask"
|
| 32 |
+
],
|
| 33 |
+
"int_dtype": "int64",
|
| 34 |
+
"model_type": "camembert",
|
| 35 |
+
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|
| 36 |
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"output_attentions": false,
|
| 37 |
+
"output_hidden_states": false,
|
| 38 |
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"output_names": [
|
| 39 |
+
"logits"
|
| 40 |
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],
|
| 41 |
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"static_batch_size": 1,
|
| 42 |
+
"static_sequence_length": 32,
|
| 43 |
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"task": "token-classification",
|
| 44 |
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|
| 45 |
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},
|
| 46 |
+
"num_attention_heads": 4,
|
| 47 |
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|
| 48 |
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|
| 49 |
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"type_vocab_size": 16,
|
| 50 |
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|
| 51 |
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"vocab_size": 1000
|
| 52 |
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/camembert/hf-internal-testing/tiny-random-camembert/5bca725791b646775427.json
ADDED
|
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-camembert",
|
| 4 |
+
"_task": "question-answering",
|
| 5 |
+
"architectures": [
|
| 6 |
+
"CamembertModel"
|
| 7 |
+
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|
| 8 |
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|
| 9 |
+
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|
| 10 |
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|
| 11 |
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"hidden_act": "gelu",
|
| 12 |
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|
| 13 |
+
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|
| 14 |
+
"initializer_range": 0.02,
|
| 15 |
+
"intermediate_size": 37,
|
| 16 |
+
"layer_norm_eps": 1e-12,
|
| 17 |
+
"max_position_embeddings": 512,
|
| 18 |
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"model_type": "camembert",
|
| 19 |
+
"neuron": {
|
| 20 |
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|
| 21 |
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|
| 22 |
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"compiler_type": "neuronx-cc",
|
| 23 |
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"compiler_version": "2.19.8089.0+8ab9f450",
|
| 24 |
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"disable_fallback": false,
|
| 25 |
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|
| 26 |
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"dynamic_batch_size": false,
|
| 27 |
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"float_dtype": "fp32",
|
| 28 |
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"inline_weights_to_neff": true,
|
| 29 |
+
"input_names": [
|
| 30 |
+
"input_ids",
|
| 31 |
+
"attention_mask"
|
| 32 |
+
],
|
| 33 |
+
"int_dtype": "int64",
|
| 34 |
+
"model_type": "camembert",
|
| 35 |
+
"optlevel": "2",
|
| 36 |
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|
| 37 |
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|
| 38 |
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"output_names": [
|
| 39 |
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"start_logits",
|
| 40 |
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"end_logits"
|
| 41 |
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],
|
| 42 |
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"static_batch_size": 1,
|
| 43 |
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|
| 44 |
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"task": "question-answering",
|
| 45 |
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|
| 46 |
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},
|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/camembert/hf-internal-testing/tiny-random-camembert/5fc297836c63bcff7ed3.json
ADDED
|
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-camembert",
|
| 4 |
+
"_task": "feature-extraction",
|
| 5 |
+
"architectures": [
|
| 6 |
+
"CamembertModel"
|
| 7 |
+
],
|
| 8 |
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|
| 9 |
+
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
+
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|
| 18 |
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"model_type": "camembert",
|
| 19 |
+
"neuron": {
|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
+
"float_dtype": "fp32",
|
| 28 |
+
"inline_weights_to_neff": true,
|
| 29 |
+
"input_names": [
|
| 30 |
+
"input_ids",
|
| 31 |
+
"attention_mask"
|
| 32 |
+
],
|
| 33 |
+
"int_dtype": "int64",
|
| 34 |
+
"model_type": "camembert",
|
| 35 |
+
"optlevel": "2",
|
| 36 |
+
"output_attentions": false,
|
| 37 |
+
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|
| 38 |
+
"output_names": [
|
| 39 |
+
"last_hidden_state",
|
| 40 |
+
"pooler_output"
|
| 41 |
+
],
|
| 42 |
+
"static_batch_size": 1,
|
| 43 |
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|
| 44 |
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"task": "feature-extraction",
|
| 45 |
+
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|
| 46 |
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},
|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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}
|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/camembert/hf-internal-testing/tiny-random-camembert/62c0826140d6564782c3.json
ADDED
|
@@ -0,0 +1,52 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
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|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-camembert",
|
| 4 |
+
"_task": "fill-mask",
|
| 5 |
+
"architectures": [
|
| 6 |
+
"CamembertModel"
|
| 7 |
+
],
|
| 8 |
+
"attention_probs_dropout_prob": 0.1,
|
| 9 |
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| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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"float_dtype": "fp32",
|
| 28 |
+
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|
| 29 |
+
"input_names": [
|
| 30 |
+
"input_ids",
|
| 31 |
+
"attention_mask"
|
| 32 |
+
],
|
| 33 |
+
"int_dtype": "int64",
|
| 34 |
+
"model_type": "camembert",
|
| 35 |
+
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|
| 36 |
+
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|
| 37 |
+
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|
| 38 |
+
"output_names": [
|
| 39 |
+
"logits"
|
| 40 |
+
],
|
| 41 |
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"static_batch_size": 1,
|
| 42 |
+
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|
| 43 |
+
"task": "fill-mask",
|
| 44 |
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|
| 45 |
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},
|
| 46 |
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"num_attention_heads": 4,
|
| 47 |
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"num_hidden_layers": 5,
|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/camembert/hf-internal-testing/tiny-random-camembert/64383c5d9ccd5d74a246.json
ADDED
|
@@ -0,0 +1,53 @@
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|
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|
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|
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|
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|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-camembert",
|
| 4 |
+
"_task": "multiple-choice",
|
| 5 |
+
"architectures": [
|
| 6 |
+
"CamembertModel"
|
| 7 |
+
],
|
| 8 |
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|
| 9 |
+
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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"initializer_range": 0.02,
|
| 15 |
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"intermediate_size": 37,
|
| 16 |
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"layer_norm_eps": 1e-12,
|
| 17 |
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"max_position_embeddings": 512,
|
| 18 |
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"model_type": "camembert",
|
| 19 |
+
"neuron": {
|
| 20 |
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"auto_cast": null,
|
| 21 |
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|
| 22 |
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"compiler_type": "neuronx-cc",
|
| 23 |
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"compiler_version": "2.19.8089.0+8ab9f450",
|
| 24 |
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|
| 25 |
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|
| 26 |
+
"dynamic_batch_size": false,
|
| 27 |
+
"float_dtype": "fp32",
|
| 28 |
+
"inline_weights_to_neff": true,
|
| 29 |
+
"input_names": [
|
| 30 |
+
"input_ids",
|
| 31 |
+
"attention_mask"
|
| 32 |
+
],
|
| 33 |
+
"int_dtype": "int64",
|
| 34 |
+
"model_type": "camembert",
|
| 35 |
+
"optlevel": "2",
|
| 36 |
+
"output_attentions": false,
|
| 37 |
+
"output_hidden_states": false,
|
| 38 |
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"output_names": [
|
| 39 |
+
"logits"
|
| 40 |
+
],
|
| 41 |
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"static_batch_size": 1,
|
| 42 |
+
"static_num_choices": 4,
|
| 43 |
+
"static_sequence_length": 128,
|
| 44 |
+
"task": "multiple-choice",
|
| 45 |
+
"tensor_parallel_size": 1
|
| 46 |
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},
|
| 47 |
+
"num_attention_heads": 4,
|
| 48 |
+
"num_hidden_layers": 5,
|
| 49 |
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"position_embedding_type": "absolute",
|
| 50 |
+
"type_vocab_size": 16,
|
| 51 |
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"use_cache": true,
|
| 52 |
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"vocab_size": 1000
|
| 53 |
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|
neuronxcc-2.19.8089.0+8ab9f450/0_REGISTRY/0.3.1.dev1/camembert/hf-internal-testing/tiny-random-camembert/7ec9c0b2b3c87c96c7d0.json
ADDED
|
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_entry_class": "SingleModelCacheEntry",
|
| 3 |
+
"_model_id": "hf-internal-testing/tiny-random-camembert",
|
| 4 |
+
"_task": "question-answering",
|
| 5 |
+
"architectures": [
|
| 6 |
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"CamembertModel"
|
| 7 |
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],
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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"initializer_range": 0.02,
|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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"model_type": "camembert",
|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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"input_names": [
|
| 30 |
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"input_ids",
|
| 31 |
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"attention_mask"
|
| 32 |
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],
|
| 33 |
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"int_dtype": "int64",
|
| 34 |
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"model_type": "camembert",
|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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"output_names": [
|
| 39 |
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"start_logits",
|
| 40 |
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|
| 41 |
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],
|
| 42 |
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"static_batch_size": 1,
|
| 43 |
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|
| 44 |
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"task": "question-answering",
|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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"vocab_size": 1000
|
| 53 |
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}
|