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aholk
/
LN_segmentation

Image Segmentation
Transformers
Safetensors
PyTorch
segmentation
multilabel
unet
medical-imaging
Model card Files Files and versions
xet
Community

Instructions to use aholk/LN_segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aholk/LN_segmentation with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="aholk/LN_segmentation")
    # Load model directly
    from transformers import UNetForSegmentation
    model = UNetForSegmentation.from_pretrained("aholk/LN_segmentation", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
LN_segmentation
141 MB
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  • 1 contributor
History: 2 commits
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aholk
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  • README.md
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  • config.json
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  • model.safetensors
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  • training_loss.png
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