Instructions to use HuggingFaceM4/tiny-random-idefics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use HuggingFaceM4/tiny-random-idefics with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="HuggingFaceM4/tiny-random-idefics")

# Load model directly
from transformers import AutoProcessor, AutoModelForImageTextToText

processor = AutoProcessor.from_pretrained("HuggingFaceM4/tiny-random-idefics")
model = AutoModelForImageTextToText.from_pretrained("HuggingFaceM4/tiny-random-idefics")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use HuggingFaceM4/tiny-random-idefics with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "HuggingFaceM4/tiny-random-idefics"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "HuggingFaceM4/tiny-random-idefics",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/HuggingFaceM4/tiny-random-idefics

SGLang

How to use HuggingFaceM4/tiny-random-idefics with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "HuggingFaceM4/tiny-random-idefics" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "HuggingFaceM4/tiny-random-idefics",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "HuggingFaceM4/tiny-random-idefics" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "HuggingFaceM4/tiny-random-idefics",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use HuggingFaceM4/tiny-random-idefics with Docker Model Runner:
```
docker model run hf.co/HuggingFaceM4/tiny-random-idefics
```

Leyo commited on Oct 12, 2023

Commit

b08e9ee

1 Parent(s): a3b6c1d

Upload tokenizer

Browse files

Files changed (4) hide show

added_tokens.json +0 -1
special_tokens_map.json +12 -18
tokenizer.json +0 -0
tokenizer_config.json +51 -27

added_tokens.json CHANGED Viewed

@@ -1,4 +1,3 @@
 {
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   "<image>": 32001
 }

 {
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 }

special_tokens_map.json CHANGED Viewed

@@ -1,39 +1,33 @@
 {
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     "rstrip": false,
     "single_word": false
   }

 {
   "additional_special_tokens": [
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+    "<image>"
   ],
   "bos_token": {
     "content": "<s>",
     "lstrip": false,
+    "normalized": false,
     "rstrip": false,
     "single_word": false
   },
   "eos_token": {
     "content": "</s>",
     "lstrip": false,
+    "normalized": false,
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+    "single_word": false
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+  "pad_token": {
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+    "lstrip": false,
+    "normalized": false,
     "rstrip": false,
     "single_word": false
   },
   "unk_token": {
     "content": "<unk>",
     "lstrip": false,
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     "rstrip": false,
     "single_word": false
   }

tokenizer.json ADDED Viewed

The diff for this file is too large to render. See raw diff

tokenizer_config.json CHANGED Viewed

@@ -1,35 +1,59 @@
 {
-  "add_bos_token": true,
-  "add_eos_token": false,
-  "bos_token": {
-    "__type": "AddedToken",
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-  "eos_token": {
-    "__type": "AddedToken",
-    "content": "</s>",
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   "model_max_length": 2048,
-  "pad_token": null,
   "sp_model_kwargs": {},
-  "special_tokens_map_file": "/Users/leotronchon/.cache/huggingface/hub/models--huggyllama--llama-7b/snapshots/8416d3fefb0cb3ff5775a7b13c1692d10ff1aa16/special_tokens_map.json",
   "tokenizer_class": "LlamaTokenizer",
-  "unk_token": {
-    "__type": "AddedToken",
-    "content": "<unk>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  }
 }

 {
+  "added_tokens_decoder": {
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+      "lstrip": false,
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+      "single_word": false,
+      "special": true
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+      "single_word": false,
+      "special": true
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+      "lstrip": false,
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+      "rstrip": false,
+      "single_word": false,
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+    "32000": {
+      "content": "<fake_token_around_image>",
+      "lstrip": false,
+      "normalized": false,
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   },
+  "additional_special_tokens": [
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+    "<image>"
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+  "bos_token": "<s>",
   "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
   "legacy": true,
   "model_max_length": 2048,
+  "pad_token": "<unk>",
   "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
   "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true
 }