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toolevalxm
/
MedVision-RadNet-Clinical

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

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

  • Libraries
  • Transformers

    How to use toolevalxm/MedVision-RadNet-Clinical with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="toolevalxm/MedVision-RadNet-Clinical")
    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/MedVision-RadNet-Clinical")
    model = AutoModelForImageClassification.from_pretrained("toolevalxm/MedVision-RadNet-Clinical")
  • Notebooks
  • Google Colab
  • Kaggle
MedVision-RadNet-Clinical
8.53 kB
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  • 1 contributor
History: 2 commits
toolevalxm's picture
toolevalxm
Upload MedVision-RadNet-Clinical model with benchmark results
13064f8 verified 2 months ago
  • figures
    Upload MedVision-RadNet-Clinical model with benchmark results 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    5.59 kB
    Upload MedVision-RadNet-Clinical model with benchmark results 2 months ago
  • config.json
    159 Bytes
    Upload MedVision-RadNet-Clinical model with benchmark results 2 months ago
  • pytorch_model.bin
    40 Bytes
    xet
    Upload MedVision-RadNet-Clinical model with benchmark results 2 months ago