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Wijenayake-S
/
dr-severity-efficientnetb0-cbam

Image Classification
Keras
medical-imaging
diabetic-retinopathy
tensorflow
Model card Files Files and versions
xet
Community

Instructions to use Wijenayake-S/dr-severity-efficientnetb0-cbam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use Wijenayake-S/dr-severity-efficientnetb0-cbam with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://Wijenayake-S/dr-severity-efficientnetb0-cbam")
    
  • Notebooks
  • Google Colab
  • Kaggle
dr-severity-efficientnetb0-cbam
98.6 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Wijenayake-S's picture
Wijenayake-S
Initial upload: DR severity models + config
0eb5115 verified 12 days ago
  • .gitattributes
    1.62 kB
    Initial upload: DR severity models + config 12 days ago
  • README.md
    3.5 kB
    Initial upload: DR severity models + config 12 days ago
  • config.json
    1.3 kB
    Initial upload: DR severity models + config 12 days ago
  • dr_224.keras
    47.1 MB
    xet
    Initial upload: DR severity models + config 12 days ago
  • dr_448.keras
    51.4 MB
    xet
    Initial upload: DR severity models + config 12 days ago