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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 / runs
30.9 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
JuIm's picture
JuIm
End of training
ec6967f verified almost 2 years ago
  • Jun21_13-57-38_d6e7db806c7a
    End of training almost 2 years ago
  • Jun21_13-58-42_d6e7db806c7a
    End of training almost 2 years ago
  • Jun21_14-03-34_d6e7db806c7a
    End of training almost 2 years ago
  • Jun21_14-04-21_d6e7db806c7a
    End of training almost 2 years ago
  • Jun21_14-10-12_d6e7db806c7a
    End of training almost 2 years ago