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sylvan54
/
git-base-bean

Image-Text-to-Text
Transformers
TensorBoard
Safetensors
git
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use sylvan54/git-base-bean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sylvan54/git-base-bean with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-text-to-text", model="sylvan54/git-base-bean")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("sylvan54/git-base-bean")
    model = AutoModelForMultimodalLM.from_pretrained("sylvan54/git-base-bean")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use sylvan54/git-base-bean with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "sylvan54/git-base-bean"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "sylvan54/git-base-bean",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/sylvan54/git-base-bean
  • SGLang

    How to use sylvan54/git-base-bean 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 "sylvan54/git-base-bean" \
        --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": "sylvan54/git-base-bean",
    		"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 "sylvan54/git-base-bean" \
            --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": "sylvan54/git-base-bean",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use sylvan54/git-base-bean with Docker Model Runner:

    docker model run hf.co/sylvan54/git-base-bean
git-base-bean
707 MB
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  • 1 contributor
History: 2 commits
sylvan54's picture
sylvan54
End of training
caa05e4 verified over 1 year ago
  • runs
    End of training over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    1.22 kB
    End of training over 1 year ago
  • config.json
    901 Bytes
    End of training over 1 year ago
  • generation_config.json
    136 Bytes
    End of training over 1 year ago
  • model.safetensors
    707 MB
    xet
    End of training over 1 year ago
  • training_args.bin
    5.3 kB
    xet
    End of training over 1 year ago