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ahishamm
/
vit-base-isic-sharpened-patch-16

Image Classification
Transformers
PyTorch
TensorBoard
vit
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use ahishamm/vit-base-isic-sharpened-patch-16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ahishamm/vit-base-isic-sharpened-patch-16 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="ahishamm/vit-base-isic-sharpened-patch-16")
    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("ahishamm/vit-base-isic-sharpened-patch-16")
    model = AutoModelForImageClassification.from_pretrained("ahishamm/vit-base-isic-sharpened-patch-16")
  • Notebooks
  • Google Colab
  • Kaggle
vit-base-isic-sharpened-patch-16 / runs
6.08 kB
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  • 1 contributor
History: 2 commits
ahishamm's picture
ahishamm
Uploaded Model
f60bf49 almost 3 years ago
  • Jun29_10-34-24_a13fa1600765
    Uploaded Model almost 3 years ago