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Ma120
/
Fake-News-Detection

Text Classification
Scikit-learn
English
fake-news
logistic-regression
pipeline
Model card Files Files and versions
xet
Community

Instructions to use Ma120/Fake-News-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Scikit-learn

    How to use Ma120/Fake-News-Detection with Scikit-learn:

    from huggingface_hub import hf_hub_download
    import joblib
    model = joblib.load(
    	hf_hub_download("Ma120/Fake-News-Detection", "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
Fake-News-Detection
71.3 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Ma120's picture
Ma120
Update README.md
7e97ac2 verified 7 months ago
  • .gitattributes
    1.58 kB
    Upload 5 files 7 months ago
  • Model Accuracy.png
    26.6 kB
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  • README.md
    1.59 kB
    Update README.md 7 months ago
  • app.py
    2.74 kB
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  • fake_news_pipeline.skops
    71.3 MB
    xet
    Upload 5 files 7 months ago
  • requirements.txt
    45 Bytes
    Upload 5 files 7 months ago