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Hemg
/
Melanoma-Cancer-Image-Classification-tEST

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

Instructions to use Hemg/Melanoma-Cancer-Image-Classification-tEST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Hemg/Melanoma-Cancer-Image-Classification-tEST with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Hemg/Melanoma-Cancer-Image-Classification-tEST")
    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("Hemg/Melanoma-Cancer-Image-Classification-tEST")
    model = AutoModelForImageClassification.from_pretrained("Hemg/Melanoma-Cancer-Image-Classification-tEST")
  • Notebooks
  • Google Colab
  • Kaggle
Melanoma-Cancer-Image-Classification-tEST / runs
6.08 kB
Ctrl+K
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  • 1 contributor
History: 2 commits
Hemg's picture
Hemg
Training in progress, epoch 1
8af930f verified about 2 years ago
  • Mar29_05-19-57_dae4e5b413d1
    Training in progress, epoch 1 about 2 years ago