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AbdullahImran
/
Saudi-Supply-Demand-Models

Time Series Forecasting
Joblib
Keras
PyTorch
generic
demand-forecasting
supply-chain
gru
lstm
lightgbm
xgboost
random-forest
mixture-of-experts
Model card Files Files and versions
xet
Community

Instructions to use AbdullahImran/Saudi-Supply-Demand-Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use AbdullahImran/Saudi-Supply-Demand-Models with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://AbdullahImran/Saudi-Supply-Demand-Models")
    
  • Notebooks
  • Google Colab
  • Kaggle
Saudi-Supply-Demand-Models
1.79 GB
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  • 1 contributor
History: 22 commits
AbdullahImran's picture
AbdullahImran
Add trained_models
f0ee871 verified 7 days ago
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