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:
- 4cd0d49d36aa1c03f30e205939f2bff5035eb83d955adf96bdf034f42ef534ca
- Size of remote file:
- 166 kB
- SHA256:
- 2749ecfae999ce72fff88b6bffb8265ac70240ea51b46df0c91ea1f919dcc353
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