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Gkea
/
ikinyamakuru

Text Classification
Scikit-learn
Joblib
Kinyarwanda
kinyarwanda
news
tf-idf
logistic-regression
african-languages
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Scikit-learn

    How to use Gkea/ikinyamakuru with Scikit-learn:

    from huggingface_hub import hf_hub_download
    import joblib
    model = joblib.load(
    	hf_hub_download("Gkea/ikinyamakuru", "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
ikinyamakuru / weights
10.2 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Gkea's picture
Gkea
Ikinyamakuru character n-gram section classifier
9970e6b verified 10 days ago
  • coef.f64
    8.96 MB
    xet
    Ikinyamakuru character n-gram section classifier 10 days ago
  • idf.f64
    640 kB
    xet
    Ikinyamakuru character n-gram section classifier 10 days ago
  • meta.json
    1.9 kB
    Ikinyamakuru character n-gram section classifier 10 days ago
  • vocab.json
    557 kB
    Ikinyamakuru character n-gram section classifier 10 days ago