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Shrey-1329
/
git-base-cxiu

Image-Text-to-Text
Transformers
PyTorch
git
Model card Files Files and versions
xet
Community
1

Instructions to use Shrey-1329/git-base-cxiu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Shrey-1329/git-base-cxiu with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-text-to-text", model="Shrey-1329/git-base-cxiu")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForImageTextToText
    
    processor = AutoProcessor.from_pretrained("Shrey-1329/git-base-cxiu")
    model = AutoModelForImageTextToText.from_pretrained("Shrey-1329/git-base-cxiu")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use Shrey-1329/git-base-cxiu with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "Shrey-1329/git-base-cxiu"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "Shrey-1329/git-base-cxiu",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/Shrey-1329/git-base-cxiu
  • SGLang

    How to use Shrey-1329/git-base-cxiu 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 "Shrey-1329/git-base-cxiu" \
        --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": "Shrey-1329/git-base-cxiu",
    		"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 "Shrey-1329/git-base-cxiu" \
            --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": "Shrey-1329/git-base-cxiu",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use Shrey-1329/git-base-cxiu with Docker Model Runner:

    docker model run hf.co/Shrey-1329/git-base-cxiu
git-base-cxiu
707 MB
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  • 2 contributors
History: 2 commits
Shrey-1329's picture
Shrey-1329
Upload GitForCausalLM
d992693 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    2.9 kB
    Upload GitForCausalLM over 2 years ago
  • generation_config.json
    136 Bytes
    Upload GitForCausalLM over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "torch.LongStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    707 MB
    xet
    Upload GitForCausalLM over 2 years ago