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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
95.7 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
jsebdev's picture
jsebdev
Add creation model notebook
0309480 about 3 years ago
  • variables
    Push Keras model using huggingface_hub. about 3 years ago
  • .gitattributes
    1.55 kB
    Push Keras model using huggingface_hub. about 3 years ago
  • README.md
    2.05 kB
    Fix readme about 3 years ago
  • fingerprint.pb
    58 Bytes
    xet
    Push Keras model using huggingface_hub. about 3 years ago
  • keras_metadata.pb
    17.5 kB
    xet
    Push Keras model using huggingface_hub. about 3 years ago
  • model.png
    11.3 kB
    Push Keras model using huggingface_hub. about 3 years ago
  • saved_model.pb
    2.15 MB
    xet
    Push Keras model using huggingface_hub. about 3 years ago
  • stock_predictor.ipynb
    9.48 MB
    Add creation model notebook about 3 years ago