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rharris117
/
git-base-xr

Image-Text-to-Text
Transformers
PyTorch
TensorBoard
vision-encoder-decoder
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use rharris117/git-base-xr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rharris117/git-base-xr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-text-to-text", model="rharris117/git-base-xr", device_map="auto")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultimodalLM
    
    tokenizer = AutoTokenizer.from_pretrained("rharris117/git-base-xr")
    model = AutoModelForMultimodalLM.from_pretrained("rharris117/git-base-xr", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use rharris117/git-base-xr with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "rharris117/git-base-xr"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "rharris117/git-base-xr",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/rharris117/git-base-xr
  • SGLang

    How to use rharris117/git-base-xr 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 "rharris117/git-base-xr" \
        --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": "rharris117/git-base-xr",
    		"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 "rharris117/git-base-xr" \
            --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": "rharris117/git-base-xr",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use rharris117/git-base-xr with Docker Model Runner:

    docker model run hf.co/rharris117/git-base-xr
git-base-xr / runs
130 kB
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  • 1 contributor
History: 12 commits
rharris117's picture
rharris117
Model save
aefa09f over 2 years ago
  • Jan04_18-16-39_BobbyA100Train2
    Training in progress, step 50 over 2 years ago
  • Jan04_18-19-35_BobbyA100Train2
    Training in progress, step 50 over 2 years ago
  • Jan04_18-21-28_BobbyA100Train2
    Training in progress, step 50 over 2 years ago
  • Jan04_18-24-30_BobbyA100Train2
    Training in progress, step 50 over 2 years ago
  • Jan04_18-27-54_BobbyA100Train2
    Training in progress, step 50 over 2 years ago
  • Jan04_18-29-13_BobbyA100Train2
    Training in progress, step 50 over 2 years ago
  • Jan04_18-31-06_BobbyA100Train2
    Training in progress, step 50 over 2 years ago
  • Jan04_18-36-56_BobbyA100Train2
    Training in progress, step 100 over 2 years ago
  • Jan04_18-47-44_BobbyA100Train2
    Model save over 2 years ago