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Anwarkh1
/
Skin_Cancer-Image_Classification

Image Classification
Transformers
Safetensors
vit
Model card Files Files and versions
xet
Community
2

Instructions to use Anwarkh1/Skin_Cancer-Image_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Anwarkh1/Skin_Cancer-Image_Classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Anwarkh1/Skin_Cancer-Image_Classification")
    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("Anwarkh1/Skin_Cancer-Image_Classification")
    model = AutoModelForImageClassification.from_pretrained("Anwarkh1/Skin_Cancer-Image_Classification")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
Skin_Cancer-Image_Classification
343 MB
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  • 1 contributor
History: 14 commits
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Lenonct
Update README.md
c28eb55 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    2.02 kB
    Update README.md over 1 year ago
  • config.json
    1.01 kB
    Update config.json about 2 years ago
  • model.safetensors
    343 MB
    xet
    Upload ViTForImageClassification about 2 years ago
  • preprocessor_config.json
    1.01 kB
    Update preprocessor_config.json about 2 years ago