Add tiny random SeamlessM4T configuration for testing

README.md

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+---
+library_name: transformers
+tags:
+- testing
+- tiny-model
+- seamless-m4t
+- config-only
+---
+
+# Tiny Random SeamlessM4T Model Configuration
+
+This is a tiny configuration for facebook/hf-seamless-m4t-medium with reduced dimensions, designed for testing purposes.
+

config.json

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+{
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "adaptor_dropout": 0.1,
+  "adaptor_kernel_size": 8,
+  "adaptor_stride": 8,
+  "add_adapter": true,
+  "architectures": [
+    "SeamlessM4TModel"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 2,
+  "conv_depthwise_kernel_size": 31,
+  "decoder_attention_heads": 2,
+  "decoder_ffn_dim": 128,
+  "decoder_layerdrop": 0.05,
+  "decoder_layers": 2,
+  "decoder_start_token_id": 3,
+  "dropout": 0.1,
+  "encoder_attention_heads": 2,
+  "encoder_ffn_dim": 128,
+  "encoder_layerdrop": 0.05,
+  "encoder_layers": 2,
+  "eos_token_id": 3,
+  "feature_projection_input_dim": 160,
+  "hidden_size": 64,
+  "initializer_range": 0.02,
+  "is_encoder_decoder": true,
+  "lang_embed_dim": 256,
+  "layer_norm_eps": 1e-05,
+  "leaky_relu_slope": 0.1,
+  "max_new_tokens": 256,
+  "max_position_embeddings": 512,
+  "max_source_positions": 4096,
+  "model_type": "seamless_m4t",
+  "num_adapter_layers": 1,
+  "num_attention_heads": 16,
+  "num_conv_pos_embedding_groups": 16,
+  "num_conv_pos_embeddings": 128,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embeddings_type": "relative",
+  "resblock_dilation_sizes": [
+    [
+      1,
+      3,
+      5
+    ],
+    [
+      1,
+      3,
+      5
+    ],
+    [
+      1,
+      3,
+      5
+    ]
+  ],
+  "resblock_kernel_sizes": [
+    3,
+    7,
+    11
+  ],
+  "rotary_embedding_base": 10000,
+  "sampling_rate": 16000,
+  "scale_embedding": true,
+  "speech_encoder_attention_heads": 16,
+  "speech_encoder_dropout": 0.0,
+  "speech_encoder_hidden_act": "swish",
+  "speech_encoder_intermediate_size": 4096,
+  "speech_encoder_layerdrop": 0.1,
+  "speech_encoder_layers": 12,
+  "spkr_embed_dim": 256,
+  "t2u_bos_token_id": 0,
+  "t2u_decoder_attention_heads": 16,
+  "t2u_decoder_ffn_dim": 8192,
+  "t2u_decoder_layers": 4,
+  "t2u_decoder_start_token_id": 2,
+  "t2u_encoder_attention_heads": 16,
+  "t2u_encoder_ffn_dim": 8192,
+  "t2u_encoder_layers": 4,
+  "t2u_eos_token_id": 2,
+  "t2u_max_new_tokens": 1024,
+  "t2u_max_position_embeddings": 2048,
+  "t2u_pad_token_id": 1,
+  "t2u_vocab_size": 10082,
+  "torch_dtype": "float32",
+  "transformers_version": "4.53.1",
+  "unit_embed_dim": 1280,
+  "unit_hifi_gan_vocab_size": 10000,
+  "upsample_initial_channel": 512,
+  "upsample_kernel_sizes": [
+    11,
+    8,
+    8,
+    4,
+    4
+  ],
+  "upsample_rates": [
+    5,
+    4,
+    4,
+    2,
+    2
+  ],
+  "use_cache": true,
+  "var_pred_dropout": 0.5,
+  "variance_predictor_kernel_size": 3,
+  "vocab_size": 256206,
+  "vocoder_num_langs": 36,
+  "vocoder_num_spkrs": 200,
+  "vocoder_offset": 4
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5217dbac2088bb5bd242dc3926de20473be6f857826523b4a3fb90dfa8a26e34
+size 1619