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NurzatS
/
Customer_churn

Keras
Joblib
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Keras

    How to use NurzatS/Customer_churn 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://NurzatS/Customer_churn")
    
  • Notebooks
  • Google Colab
  • Kaggle
Customer_churn
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  • 1 contributor
History: 4 commits
NurzatS's picture
NurzatS
Upload app.py
b9139a5 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    925 Bytes
    Create README.md about 2 months ago
  • app.py
    2.51 kB
    Upload app.py about 2 months ago
  • churn_model.keras
    61.4 kB
    Upload 3 files about 2 months ago
  • requirements.txt
    101 Bytes
    Upload 3 files about 2 months ago
  • scaler.joblib
    919 Bytes
    xet
    Upload 3 files about 2 months ago