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aholk
/
LN_HEV_only_segmentation_sweep

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

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

  • Libraries
  • Transformers

    How to use aholk/LN_HEV_only_segmentation_sweep with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="aholk/LN_HEV_only_segmentation_sweep")
    # Load model directly
    from transformers import R2UNetForSegmentation
    model = R2UNetForSegmentation.from_pretrained("aholk/LN_HEV_only_segmentation_sweep", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
LN_HEV_only_segmentation_sweep
156 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
aholk's picture
aholk
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d868415 verified 9 days ago
  • .gitattributes
    1.52 kB
    initial commit 9 days ago
  • README.md
    1.96 kB
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  • config.json
    333 Bytes
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  • model.safetensors
    156 MB
    xet
    Upload folder using huggingface_hub 9 days ago