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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:

    # !pip install -U keras tensorflow huggingface_hub
    # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here;
    # "jax" and "torch" also work for computation once TensorFlow is installed.
    import os
    os.environ["KERAS_BACKEND"] = "tensorflow"
    
    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 about 1 month ago
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  • dl_multi_horizon_finalized_out
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  • dl_multi_horizon_out_safe_v3
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  • dl_multi_horizon_rewrite_out
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  • .gitattributes
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  • README.md
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