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DaneshSelwal
/
Classification-DIAS-65Bands

Keras
medical-imaging
hyperspectral
classification
uncertainty-quantification
Model card Files Files and versions
xet
Community

Instructions to use DaneshSelwal/Classification-DIAS-65Bands with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use DaneshSelwal/Classification-DIAS-65Bands with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://DaneshSelwal/Classification-DIAS-65Bands")
    
  • Notebooks
  • Google Colab
  • Kaggle
Classification-DIAS-65Bands
7.36 GB
Ctrl+K
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  • 1 contributor
History: 41 commits
DaneshSelwal's picture
DaneshSelwal
Upload multicp/models/ViT_UNet_MultiHead_final.keras with huggingface_hub
ee72bf0 verified 5 days ago
  • baseline
    Clean up codebase files to make it a strict Model Registry 5 days ago
  • credit
    Clean up codebase files to make it a strict Model Registry 5 days ago
  • data
    Upload data/DIAS_ref.mat with huggingface_hub 5 days ago
  • ensemble
    Upload ensemble/models/ensembles/ViT_UNet_ens_5_final.keras with huggingface_hub 5 days ago
  • multicp
    Upload multicp/models/ViT_UNet_MultiHead_final.keras with huggingface_hub 5 days ago
  • .gitattributes
    8.68 kB
    Upload multicp/models/ViT_UNet_MultiHead_final.keras with huggingface_hub 5 days ago
  • README.md
    1.05 kB
    Upload README.md with huggingface_hub 5 days ago