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JuIm
/
ViT-Breast-Cancer

Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use JuIm/ViT-Breast-Cancer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JuIm/ViT-Breast-Cancer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="JuIm/ViT-Breast-Cancer")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("JuIm/ViT-Breast-Cancer")
    model = AutoModelForImageClassification.from_pretrained("JuIm/ViT-Breast-Cancer")
  • Notebooks
  • Google Colab
  • Kaggle
ViT-Breast-Cancer
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
JuIm's picture
JuIm
Update README.md
0c3ea7d verified almost 2 years ago
  • runs
    End of training almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    1.75 kB
    Update README.md almost 2 years ago
  • config.json
    742 Bytes
    End of training almost 2 years ago
  • model.safetensors
    343 MB
    xet
    End of training almost 2 years ago
  • preprocessor_config.json
    578 Bytes
    End of training almost 2 years ago
  • training_args.bin
    5.11 kB
    xet
    End of training almost 2 years ago