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jngb-labs
/
sms-spam-classical

Text Classification
Scikit-learn
Joblib
English
sms
spam-detection
tf-idf
linear-svm
scikit-learn
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use jngb-labs/sms-spam-classical with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Scikit-learn

    How to use jngb-labs/sms-spam-classical with Scikit-learn:

    from huggingface_hub import hf_hub_download
    import joblib
    model = joblib.load(
    	hf_hub_download("jngb-labs/sms-spam-classical", "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
sms-spam-classical
1.08 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Jakob Neugebauer
Pin sklearn==1.7.2 to silence version-mismatch warnings
ae30b29 14 days ago
  • model
    Drop MaxAbsScaler from pipeline; normalize surface features inline 15 days ago
  • scripts
    Initial release: TF-IDF + Linear SVM trained on jngb-labs/sms-spam 15 days ago
  • src
    Drop MaxAbsScaler from pipeline; normalize surface features inline 15 days ago
  • .gitattributes
    45 Bytes
    Initial release: TF-IDF + Linear SVM trained on jngb-labs/sms-spam 15 days ago
  • .gitignore
    78 Bytes
    Initial release: TF-IDF + Linear SVM trained on jngb-labs/sms-spam 15 days ago
  • README.md
    6.58 kB
    Link to comparison Space 15 days ago
  • requirements.txt
    272 Bytes
    Pin sklearn==1.7.2 to silence version-mismatch warnings 14 days ago