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guo1006
/
git-base-pokemon-captioning-generate

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

Instructions to use guo1006/git-base-pokemon-captioning-generate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use guo1006/git-base-pokemon-captioning-generate with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-text-to-text", model="guo1006/git-base-pokemon-captioning-generate")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("guo1006/git-base-pokemon-captioning-generate")
    model = AutoModelForMultimodalLM.from_pretrained("guo1006/git-base-pokemon-captioning-generate", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use guo1006/git-base-pokemon-captioning-generate with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "guo1006/git-base-pokemon-captioning-generate"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "guo1006/git-base-pokemon-captioning-generate",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/guo1006/git-base-pokemon-captioning-generate
  • SGLang

    How to use guo1006/git-base-pokemon-captioning-generate 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 "guo1006/git-base-pokemon-captioning-generate" \
        --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": "guo1006/git-base-pokemon-captioning-generate",
    		"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 "guo1006/git-base-pokemon-captioning-generate" \
            --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": "guo1006/git-base-pokemon-captioning-generate",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use guo1006/git-base-pokemon-captioning-generate with Docker Model Runner:

    docker model run hf.co/guo1006/git-base-pokemon-captioning-generate
git-base-pokemon-captioning-generate
707 MB
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  • 1 contributor
History: 20 commits
guo1006's picture
guo1006
End of training
d975724 verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    2 kB
    End of training 11 months ago
  • config.json
    1.14 kB
    Training in progress, step 100 11 months ago
  • generation_config.json
    123 Bytes
    End of training 11 months ago
  • model.safetensors
    707 MB
    xet
    Training in progress, step 960 11 months ago
  • preprocessor_config.json
    503 Bytes
    Training in progress, step 100 11 months ago
  • special_tokens_map.json
    695 Bytes
    Training in progress, step 100 11 months ago
  • tokenizer.json
    712 kB
    Training in progress, step 100 11 months ago
  • tokenizer_config.json
    1.33 kB
    Training in progress, step 100 11 months ago
  • training_args.bin
    5.37 kB
    xet
    Training in progress, step 100 11 months ago
  • vocab.txt
    232 kB
    Training in progress, step 100 11 months ago