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Bawil
/
wmh_leverage_normal_abnormal_segmentation

Image Segmentation
Flair
Keras
tensorflow
medical-imaging
white-matter-hyperintensities
mri
deep-learning
neurology
multiple-sclerosis
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Flair

    How to use Bawil/wmh_leverage_normal_abnormal_segmentation with Flair:

    from flair.models import SequenceTagger
    
    tagger = SequenceTagger.load("Bawil/wmh_leverage_normal_abnormal_segmentation")
  • Keras

    How to use Bawil/wmh_leverage_normal_abnormal_segmentation with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://Bawil/wmh_leverage_normal_abnormal_segmentation")
    
  • Notebooks
  • Google Colab
  • Kaggle
wmh_leverage_normal_abnormal_segmentation / unet /config
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  • 1 contributor
History: 3 commits
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Bawil
Delete unet/config/r.md
7e470a0 verified 6 months ago
  • experiment_config.json
    334 Bytes
    Upload experiment_config.json 6 months ago