Instructions to use kushal23/machine-maintenance-predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use kushal23/machine-maintenance-predictor with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("kushal23/machine-maintenance-predictor", "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:
- fff885f80cfea900c89c7f8d9a59769e9296274ade995a20cde9482804062989
- Size of remote file:
- 255 Bytes
- SHA256:
- ba04f5d1ecb51491cfacd43d51cec2d1beb9459e1f1f0a91aeb71d456705d39b
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