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sud11111
/
Federated-Learning-Glaucoma

Image Segmentation
Transformers
medical-imaging
glaucoma
federated-learning
semantic-segmentation
ophthalmology
computer-vision
healthcare
mask2former
swin-transformer
Model card Files Files and versions
xet
Community

Instructions to use sud11111/Federated-Learning-Glaucoma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sud11111/Federated-Learning-Glaucoma with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="sud11111/Federated-Learning-Glaucoma")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("sud11111/Federated-Learning-Glaucoma", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Federated-Learning-Glaucoma / models
19 GB
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  • 1 contributor
History: 1 commit
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