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:
- b4ef041fdb257e748761f06d325ec2d5e926345b2145c8d2cc835bcb1078b293
- Size of remote file:
- 308 kB
- SHA256:
- 951aa4945c3c3b87ee28b393fcce9f2adf534f8393ce839a18dbed6fe941c04b
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