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harsha163
/
CutMix_data_augmentation_for_image_classification

Image Classification
Keras
TensorBoard
TF-Keras
data-augmentation
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use harsha163/CutMix_data_augmentation_for_image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use harsha163/CutMix_data_augmentation_for_image_classification with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://harsha163/CutMix_data_augmentation_for_image_classification")
    
  • Notebooks
  • Google Colab
  • Kaggle
CutMix_data_augmentation_for_image_classification
7.78 MB
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  • 1 contributor
History: 7 commits
Wauplin's picture
Wauplin HF Staff
Set `library_name` to `tf-keras`.
09c4013 verified almost 2 years ago
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  • .gitattributes
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  • README.md
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    Set `library_name` to `tf-keras`. almost 2 years ago
  • keras_metadata.pb
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  • model.png
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  • saved_model.pb
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