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
- Xet hash:
- e18567dc5e83c2e1160561ee31845b8c17fdfb7c946c45cec9b3f55ae34d8192
- Size of remote file:
- 3.49 kB
- SHA256:
- abf8a878b7908116919fcb30778240cb40f12256c7bd1841d48bbc6d3b3fa493
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