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Lab-Rasool
/
sybil

Image Classification
Transformers
PyTorch
English
sybil
medical
cancer
ct-scan
risk-prediction
healthcare
vision
Model card Files Files and versions
xet
Community

Instructions to use Lab-Rasool/sybil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Lab-Rasool/sybil with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Lab-Rasool/sybil")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Lab-Rasool/sybil", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
sybil / checkpoints
748 MB
Ctrl+K
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  • 2 contributors
History: 1 commit
Aakash-Tripathi's picture
Aakash-Tripathi
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1206896 verified 9 months ago
  • 28a7cd44f5bcd3e6cc760b65c7e0d54d.ckpt
    150 MB
    xet
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  • 56ce1a7d241dc342982f5466c4a9d7ef.ckpt
    150 MB
    xet
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  • 624407ef8e3a2a009f9fa51f9846fe9a.ckpt
    150 MB
    xet
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  • 64a91b25f84141d32852e75a3aec7305.ckpt
    150 MB
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  • 65fd1f04cb4c5847d86a9ed8ba31ac1a.ckpt
    150 MB
    xet
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  • sybil_1_simple_calibrator.json
    45.2 kB
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  • sybil_2_simple_calibrator.json
    44.4 kB
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  • sybil_3_simple_calibrator.json
    46.2 kB
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  • sybil_4_simple_calibrator.json
    45 kB
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  • sybil_5_simple_calibrator.json
    43.9 kB
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  • sybil_ensemble_simple_calibrator.json
    48 kB
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