Instructions to use davidmcmahon/omega_guard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use davidmcmahon/omega_guard with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("davidmcmahon/omega_guard", "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
Upload vectorizer.joblib with huggingface_hub
Browse files- vectorizer.joblib +3 -0
vectorizer.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d9ede353b010e91d12e06607befa514b5e4e6a922645c8bcb3a0423a52a2d7c
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size 539010
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