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mmobi
/
Forest_Regressor_v1

Tabular Regression
Scikit-learn
English
music
audio-features
popularity-prediction
random-forest
regression
spotify
Model card Files Files and versions
xet
Community

Instructions to use mmobi/Forest_Regressor_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Scikit-learn

    How to use mmobi/Forest_Regressor_v1 with Scikit-learn:

    from huggingface_hub import hf_hub_download
    import joblib
    model = joblib.load(
    	hf_hub_download("mmobi/Forest_Regressor_v1", "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
Forest_Regressor_v1
242 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
mmobi's picture
mmobi
Upload folder using huggingface_hub
465027d verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    5.54 kB
    Upload folder using huggingface_hub 5 months ago
  • final_random_forest_model.pkl
    242 MB
    xet
    Upload folder using huggingface_hub 5 months ago