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Reynier
/
dga-fanci

Text Classification
Scikit-learn
Joblib
English
fanci
dga
cybersecurity
domain-generation-algorithm
Model card Files Files and versions
xet
Community

Instructions to use Reynier/dga-fanci with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Scikit-learn

    How to use Reynier/dga-fanci with Scikit-learn:

    from huggingface_hub import hf_hub_download
    import joblib
    model = joblib.load(
    	hf_hub_download("Reynier/dga-fanci", "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
dga-fanci
1.05 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits

This model has 1 file scanned as unsafe.

Reynier's picture
Reynier
Fix: inject FANCIFeatureExtractor and FANCIRandomForest into __main__ before joblib.load()
f63c190 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    1.07 kB
    Upload README.md with huggingface_hub about 2 months ago
  • config.json
    374 Bytes
    Upload config.json with huggingface_hub about 2 months ago
  • dga_loader.py
    5.9 kB
    Upload dga_loader.py with huggingface_hub about 2 months ago
  • fanci_dga_detector.joblib

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    1.05 GB
    xet
    Upload fanci_dga_detector.joblib with huggingface_hub about 2 months ago
  • model.py
    6.76 kB
    Fix: inject FANCIFeatureExtractor and FANCIRandomForest into __main__ before joblib.load() about 2 months ago