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Asma-Abid
/
SVM

Tabular Classification
Scikit-learn
English
svm
machine-learning
classification
auto-ml
streamlit
python
scikit-learn
student-project
csv-model
Model card Files Files and versions
xet
Community

Instructions to use Asma-Abid/SVM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Scikit-learn

    How to use Asma-Abid/SVM with Scikit-learn:

    from huggingface_hub import hf_hub_download
    import joblib
    model = joblib.load(
    	hf_hub_download("Asma-Abid/SVM", "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
SVM
58.8 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
Asma-Abid's picture
Asma-Abid
Update README.md
eb72586 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    854 Bytes
    Update README.md about 2 months ago
  • app.py
    38.1 kB
    Upload app.py about 2 months ago
  • requirements.txt
    127 Bytes
    Upload requirements.txt about 2 months ago
  • svm.pkl

    Detected Pickle imports (4)

    • "sklearn.svm._classes.SVC",
    • "numpy.ndarray",
    • "joblib.numpy_pickle.NumpyArrayWrapper",
    • "numpy.dtype"

    How to fix it?

    18.3 kB
    xet
    Upload svm.pkl about 2 months ago