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sumedh
/
lstm-seq2seq

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seq2seq
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xet
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Instructions to use sumedh/lstm-seq2seq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use sumedh/lstm-seq2seq with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://sumedh/lstm-seq2seq")
    
  • Notebooks
  • Google Colab
  • Kaggle
lstm-seq2seq
5.36 MB
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  • 1 contributor
History: 5 commits
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sumedh
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