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siyah1
/
SWin-ViT-Xray

Image Classification
Transformers
Safetensors
swin
Model card Files Files and versions
xet
Community

Instructions to use siyah1/SWin-ViT-Xray with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use siyah1/SWin-ViT-Xray with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="siyah1/SWin-ViT-Xray")
    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("siyah1/SWin-ViT-Xray")
    model = AutoModelForImageClassification.from_pretrained("siyah1/SWin-ViT-Xray")
  • Notebooks
  • Google Colab
  • Kaggle
SWin-ViT-Xray
348 MB
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  • 1 contributor
History: 3 commits
siyah1's picture
siyah1
Upload processor
24454f4 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.17 kB
    Upload SwinForImageClassification about 1 year ago
  • config.json
    1.14 kB
    Upload SwinForImageClassification about 1 year ago
  • model.safetensors
    348 MB
    xet
    Upload SwinForImageClassification about 1 year ago
  • preprocessor_config.json
    363 Bytes
    Upload processor about 1 year ago