Instructions to use Hamza142/software-defect-logistic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Hamza142/software-defect-logistic with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Hamza142/software-defect-logistic", "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 logistic_regression.pkl with huggingface_hub
Browse files- logistic_regression.pkl +3 -0
logistic_regression.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:abf8a878b7908116919fcb30778240cb40f12256c7bd1841d48bbc6d3b3fa493
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size 3491
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