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rmaitest
/
mlmodel2

Tabular Regression
Scikit-learn
Model card Files Files and versions
xet
Community

Instructions to use rmaitest/mlmodel2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Scikit-learn

    How to use rmaitest/mlmodel2 with Scikit-learn:

    from huggingface_hub import hf_hub_download
    import joblib
    model = joblib.load(
    	hf_hub_download("rmaitest/mlmodel2", "sklearn_model.joblib")
    )
    # only load pickle files from sources you trust
    # read more about it here https://skops.readthedocs.io/en/stable/persistence.html
  • Notebooks
  • Google Colab
  • Kaggle
mlmodel2
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
rmaitest's picture
rmaitest
Update README.md
8f3bdf4 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    62 Bytes
    Update README.md over 1 year ago
  • house_price_model.pkl

    Detected Pickle imports (6)

    • "_codecs.encode",
    • "numpy.core.multiarray._reconstruct",
    • "sklearn.linear_model._base.LinearRegression",
    • "numpy.ndarray",
    • "numpy.dtype",
    • "joblib.numpy_pickle.NumpyArrayWrapper"

    How to fix it?

    944 Bytes
    xet
    Upload house_price_model.pkl with huggingface_hub over 1 year ago
  • house_price_prediction.py
    546 Bytes
    Upload house_price_prediction.py with huggingface_hub over 1 year ago
  • requirements.txt
    26 Bytes
    Upload requirements.txt with huggingface_hub over 1 year ago