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:
- a585a23c62831b32aedcc4ac0448d34f2de9c554242a60be5c8daa14f224e8f7
- Size of remote file:
- 1.04 MB
- SHA256:
- 8971cbc9035b9b4ddf4b5e5d5f88bd85bea1cb50647e2901a7d23d34c4282c50
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