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IAMJB
/
chexpert-impression-baseline

Image-to-Text
Transformers
Safetensors
English
vision-encoder-decoder
image-text-to-text
Model card Files Files and versions
xet
Community

Instructions to use IAMJB/chexpert-impression-baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use IAMJB/chexpert-impression-baseline with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("image-to-text", model="IAMJB/chexpert-impression-baseline")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForImageTextToText
    
    tokenizer = AutoTokenizer.from_pretrained("IAMJB/chexpert-impression-baseline")
    model = AutoModelForImageTextToText.from_pretrained("IAMJB/chexpert-impression-baseline")
  • Notebooks
  • Google Colab
  • Kaggle
chexpert-impression-baseline
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  • 1 contributor
History: 5 commits
IAMJB's picture
IAMJB
Upload README.md with huggingface_hub
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  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    521 Bytes
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  • config.json
    78.1 kB
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  • generation_config.json
    131 Bytes
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  • model.safetensors
    260 MB
    xet
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  • preprocessor_config.json
    590 Bytes
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer_config.json
    1.26 kB
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  • vocab.txt
    146 kB
    Upload tokenizer about 2 years ago