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:
- 3789b7787b741a3f18b4c7951e21b765c9aaa6281ad721a680ffa758ee879964
- Size of remote file:
- 617 Bytes
- SHA256:
- 4ccb0317eee5cec56beb6fa23c69ff3abea8ef4a40e4da67b2074a06ec232ce1
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