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lyfesan
/
swinv2transformer-brats-artifact-classifier

Image Classification
Transformers
Safetensors
swinv2
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use lyfesan/swinv2transformer-brats-artifact-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lyfesan/swinv2transformer-brats-artifact-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="lyfesan/swinv2transformer-brats-artifact-classifier")
    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("lyfesan/swinv2transformer-brats-artifact-classifier")
    model = AutoModelForImageClassification.from_pretrained("lyfesan/swinv2transformer-brats-artifact-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
swinv2transformer-brats-artifact-classifier
110 MB
Ctrl+K
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  • 1 contributor
History: 39 commits
lyfesan's picture
lyfesan
Model save
9a15821 verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    2.86 kB
    Model save 7 months ago
  • config.json
    1.21 kB
    Training in progress, epoch 1 7 months ago
  • model.safetensors
    110 MB
    xet
    Model save 7 months ago
  • training_args.bin
    5.43 kB
    xet
    Training in progress, epoch 1 7 months ago