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satpalsr
/
fnet

Text Generation
Keras
TensorBoard
TF-Keras
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Keras

    How to use satpalsr/fnet with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://satpalsr/fnet")
    
  • Notebooks
  • Google Colab
  • Kaggle
fnet
45.8 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Wauplin's picture
Wauplin HF Staff
Set `library_name` to `tf-keras`.
0b29179 verified almost 2 years ago
  • logs
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  • variables
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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
  • history.json
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  • keras_metadata.pb
    42.2 kB
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  • model.png
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  • saved_model.pb
    1.1 MB
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