Instructions to use facebook/chameleon-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/chameleon-7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="facebook/chameleon-7b")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("facebook/chameleon-7b") model = AutoModelForImageTextToText.from_pretrained("facebook/chameleon-7b") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use facebook/chameleon-7b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "facebook/chameleon-7b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "facebook/chameleon-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/facebook/chameleon-7b
- SGLang
How to use facebook/chameleon-7b 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 "facebook/chameleon-7b" \ --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": "facebook/chameleon-7b", "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 "facebook/chameleon-7b" \ --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": "facebook/chameleon-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use facebook/chameleon-7b with Docker Model Runner:
docker model run hf.co/facebook/chameleon-7b
Chat template available?
Is there a chat template available for use with transformers? If not, I guess the images and texts can be interleaved with no restrictions.
Hey! There is no chat template, the model works in conversation mode by default, without special templates. yes, you can interleave and pass images/texts as you need :)
how to use that do you have example ?
Hey! There is no chat template, the model works in conversation mode by default, without special templates. yes, you can interleave and pass images/texts as you need :)
@GokhanAI You just have to use the example code from model page, no special treatment needed. Just put special image token to places where an image should be and pass as many images as there are image tokens