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GleghornLab
/
lymph_node_segmentation

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

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

  • Libraries
  • Transformers

    How to use GleghornLab/lymph_node_segmentation with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="GleghornLab/lymph_node_segmentation")
    # Load model directly
    from transformers import UNetForSegmentation
    model = UNetForSegmentation.from_pretrained("GleghornLab/lymph_node_segmentation", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
lymph_node_segmentation
2.21 GB
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  • 1 contributor
History: 5 commits
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aholk
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12f0910 verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    2.12 kB
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  • config.json
    329 Bytes
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  • model.safetensors
    2.21 GB
    xet
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