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Sara5115
/
swin-tiny-patch4-window7-224-BlurClassification

Image Classification
Transformers
TensorBoard
Safetensors
swin
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Sara5115/swin-tiny-patch4-window7-224-BlurClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Sara5115/swin-tiny-patch4-window7-224-BlurClassification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Sara5115/swin-tiny-patch4-window7-224-BlurClassification")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("Sara5115/swin-tiny-patch4-window7-224-BlurClassification")
    model = AutoModelForImageClassification.from_pretrained("Sara5115/swin-tiny-patch4-window7-224-BlurClassification", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
swin-tiny-patch4-window7-224-BlurClassification
2.09 GB
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  • 1 contributor
History: 19 commits
Sara5115's picture
Sara5115
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  • model.safetensors
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  • preprocessor_config.json
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