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jsebdev
/
apple_stock_predictor

Keras
TF-Keras
lstm
stock prices
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Keras

    How to use jsebdev/apple_stock_predictor with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://jsebdev/apple_stock_predictor")
    
  • Notebooks
  • Google Colab
  • Kaggle
apple_stock_predictor / variables
84.1 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
jsebdev's picture
jsebdev
Push Keras model using huggingface_hub.
91b9698 about 3 years ago
  • variables.data-00000-of-00001
    84.1 MB
    xet
    Push Keras model using huggingface_hub. about 3 years ago
  • variables.index
    933 Bytes
    Push Keras model using huggingface_hub. about 3 years ago