Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

neuralchemy
/
classical-ml-threat-matrix

Scikit-learn
Joblib
English
security
prompt-injection
classical-ml
neuralchemy
threat-matrix
tfidf
logistic-regression
svm
random-forest
xgboost
Model card Files Files and versions
xet
Community

Instructions to use neuralchemy/classical-ml-threat-matrix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Scikit-learn

    How to use neuralchemy/classical-ml-threat-matrix with Scikit-learn:

    from huggingface_hub import hf_hub_download
    import joblib
    model = joblib.load(
    	hf_hub_download("neuralchemy/classical-ml-threat-matrix", "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
classical-ml-threat-matrix
402 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
m4vic's picture
m4vic
Upload results summary
b73efcd verified 1 day ago
  • linear_svm
    Upload linear_svm pipeline 1 day ago
  • logistic_regression
    Upload logistic_regression pipeline 1 day ago
  • random_forest
    Upload random_forest pipeline 1 day ago
  • xgboost
    Upload xgboost pipeline 1 day ago
  • .gitattributes
    1.8 kB
    Upload xgboost pipeline 1 day ago
  • README.md
    2.45 kB
    Add model card 1 day ago
  • all_results_summary.json
    6.47 kB
    Upload results summary 1 day ago