Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

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
748 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 32 commits
Aakash-Tripathi's picture
Aakash-Tripathi
Update README.md
15f5ea3 verified 6 months ago
  • checkpoints
    Upload folder using huggingface_hub 8 months ago
  • .gitattributes
    430 Bytes
    Upload 20 files 6 months ago
  • LICENSE
    1.17 kB
    Upload 20 files 6 months ago
  • README.md
    7.12 kB
    Update README.md 6 months ago
  • __init__.py
    468 Bytes
    Upload 20 files 6 months ago
  • config.json
    52.3 kB
    Upload 20 files 6 months ago
  • configuration_sybil.py
    2.63 kB
    Upload 20 files 6 months ago
  • image_processing_sybil.py
    17 kB
    Upload 20 files 6 months ago
  • modeling_sybil.py
    21.1 kB
    Upload 20 files 6 months ago
  • modeling_sybil_hf.py
    12.6 kB
    Upload 20 files 6 months ago
  • requirements.txt
    142 Bytes
    Upload 20 files 6 months ago