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Nielzac
/
private_fake

Text Classification
Keras
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Keras

    How to use Nielzac/private_fake with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://Nielzac/private_fake")
    
  • Notebooks
  • Google Colab
  • Kaggle
private_fake
150 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
Nielzac's picture
Nielzac
Update README.md
a28f0c9 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    99 Bytes
    Update README.md about 3 years ago
  • TALEYRAND.h5
    150 MB
    xet
    Upload TALEYRAND.h5 about 3 years ago