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toolevalxm
/
MedVisionNet-BestCheckpoint

Transformers
PyTorch
resnet
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use toolevalxm/MedVisionNet-BestCheckpoint with Transformers:

    # Load model directly
    from transformers import AutoImageProcessor, ResNet50ForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("toolevalxm/MedVisionNet-BestCheckpoint")
    model = ResNet50ForImageClassification.from_pretrained("toolevalxm/MedVisionNet-BestCheckpoint")
  • Notebooks
  • Google Colab
  • Kaggle
MedVisionNet-BestCheckpoint
6.78 kB
Ctrl+K
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  • 1 contributor
History: 2 commits
toolevalxm's picture
toolevalxm
Upload MedVisionNet best checkpoint (epoch_50) with benchmark results
bb080e6 verified 2 months ago
  • figures
    Upload MedVisionNet best checkpoint (epoch_50) with benchmark results 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    3.87 kB
    Upload MedVisionNet best checkpoint (epoch_50) with benchmark results 2 months ago
  • config.json
    133 Bytes
    Upload MedVisionNet best checkpoint (epoch_50) with benchmark results 2 months ago
  • pytorch_model.bin
    24 Bytes
    xet
    Upload MedVisionNet best checkpoint (epoch_50) with benchmark results 2 months ago