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:
- b91ecb33a94f0621aa51ee66a02b78dc4124b5b4f63838af0cef31e80e82c3a6
- Size of remote file:
- 387 kB
- SHA256:
- 10ea2d002ab916d863df6656bd101a41e4adc84c1c705ffb5853ceea36f9ca35
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