Instructions to use saravananoeaxl/spam-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use saravananoeaxl/spam-detector with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("saravananoeaxl/spam-detector", "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:
- eff330d89c33ab6a907ce5ee5f203466b63b6ae319b3f3c59ad1c6ea7d132617
- Size of remote file:
- 583 Bytes
- SHA256:
- 0ed5a5a5a1f756bac0d7de7ac7e75c769fef71ce9c78daeee6dc3b05703f1cf1
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