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toolevalxm
/
MedViT-Clinical-TestRepo

Image Classification
Transformers
PyTorch
vit
Model card Files Files and versions
xet
Community

Instructions to use toolevalxm/MedViT-Clinical-TestRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use toolevalxm/MedViT-Clinical-TestRepo with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="toolevalxm/MedViT-Clinical-TestRepo")
    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("toolevalxm/MedViT-Clinical-TestRepo")
    model = AutoModelForImageClassification.from_pretrained("toolevalxm/MedViT-Clinical-TestRepo")
  • Notebooks
  • Google Colab
  • Kaggle
MedViT-Clinical-TestRepo / figures
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
toolevalxm's picture
toolevalxm
Upload MedViT model with best performance (epoch_40, weighted AUC: 0.725)
4939ae2 verified 4 months ago
  • fig1.png
    219 Bytes
    Upload MedViT model with best performance (epoch_40, weighted AUC: 0.725) 4 months ago
  • fig2.png
    152 Bytes
    Upload MedViT model with best performance (epoch_40, weighted AUC: 0.725) 4 months ago
  • fig3.png
    229 Bytes
    Upload MedViT model with best performance (epoch_40, weighted AUC: 0.725) 4 months ago