Instructions to use ridhimalawade/spam-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use ridhimalawade/spam-classifier with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("ridhimalawade/spam-classifier", "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:
- 451ded780b79dcc4f642a7d1edd3c61795a19b31bf3a18087ab8a7767d5182b2
- Size of remote file:
- 835 Bytes
- SHA256:
- 5a64bb538ab6a24d5a3c90d01f94186b3f9033c53d5bb80483bea6d31540fe93
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