Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

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
27 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
AbdullahImran's picture
AbdullahImran
Add dl_multi_horizon_finalized_out
7b40258 verified 8 days ago
  • deep_learning_models
    Add deep_learning_models 8 days ago
  • deployment_package
    Add deployment_package 8 days ago
  • dl_multi_horizon_cv_out
    Add dl_multi_horizon_cv_out 8 days ago
  • dl_multi_horizon_finalized_out
    Add dl_multi_horizon_finalized_out 8 days ago
  • .gitattributes
    1.52 kB
    initial commit 8 days ago
  • README.md
    3.33 kB
    Add model card 8 days ago