Instructions to use M-Arjun/SpamShield with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use M-Arjun/SpamShield with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("M-Arjun/SpamShield", "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
- Xet hash:
- 287a2647322f459f1ccaa3116a04bccb1a6f14b2e626fcbdf2a6bb392bc903c8
- Size of remote file:
- 182 kB
- SHA256:
- 13947f3a374bf0febef040c4ffd4e10bb10210f65374effb35cb2865c357ef82
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