Image-Text-to-Text
Transformers
Safetensors
English
idefics2
multimodal
vision
text-generation-inference
Instructions to use HuggingFaceM4/idefics2-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuggingFaceM4/idefics2-8b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="HuggingFaceM4/idefics2-8b")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("HuggingFaceM4/idefics2-8b") model = AutoModelForImageTextToText.from_pretrained("HuggingFaceM4/idefics2-8b") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use HuggingFaceM4/idefics2-8b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "HuggingFaceM4/idefics2-8b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "HuggingFaceM4/idefics2-8b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/HuggingFaceM4/idefics2-8b
- SGLang
How to use HuggingFaceM4/idefics2-8b 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/idefics2-8b" \ --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/idefics2-8b", "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/idefics2-8b" \ --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/idefics2-8b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use HuggingFaceM4/idefics2-8b with Docker Model Runner:
docker model run hf.co/HuggingFaceM4/idefics2-8b
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README.md
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<img src="https://huggingface.co/HuggingFaceM4/idefics-80b/resolve/main/assets/IDEFICS.png" alt="Idefics-Obelics logo" width="200" height="100">
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**/!!!!\ WARNING: Idefics2 will NOT work with `Transformers` version between 4.41.0 and 4.43.3 included. See the issue https://github.com/huggingface/transformers/issues/32271 and the fix https://github.com/huggingface/transformers/pull/32275.**<br>
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**/!!!!\ WARNING: Idefics2 will NOT work with `Transformers` version between 4.41.0 and 4.43.3 included. See the issue https://github.com/huggingface/transformers/issues/32271 and the fix https://github.com/huggingface/transformers/pull/32275.**<br>
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**/!!!!\ WARNING: Idefics2 will NOT work with `Transformers` version between 4.41.0 and 4.43.3 included. See the issue https://github.com/huggingface/transformers/issues/32271 and the fix https://github.com/huggingface/transformers/pull/32275.**<br>
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***As of April 18th, 2024**, Idefics2 is part of the `4.40.0` Transformers pypi release. Please upgrade your Transformers version (`pip install transformers --upgrade`).*
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# Idefics2
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<img src="https://huggingface.co/HuggingFaceM4/idefics-80b/resolve/main/assets/IDEFICS.png" alt="Idefics-Obelics logo" width="200" height="100">
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> [!WARNING]
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> Idefics2 will NOT work with `Transformers` version between 4.41.0 and 4.43.3 included. See the issue https://github.com/huggingface/transformers/issues/32271 and the fix https://github.com/huggingface/transformers/pull/32275
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> [!IMPORTANT]
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> As of April 18th, 2024, Idefics2 is part of the `4.40.0` Transformers pypi release. Please upgrade your Transformers version (`pip install transformers --upgrade`).
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# Idefics2
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