Instructions to use SharleyK/engine-predictive-maintenance-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use SharleyK/engine-predictive-maintenance-model with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("SharleyK/engine-predictive-maintenance-model", "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:
- 6ca3c400c07189e56bb31748c2fbf2f7c9f87e4f68352508032b0f0b52bbd8ea
- Size of remote file:
- 263 kB
- SHA256:
- a778c02ef4d2d19cadab338563fd79e2a5d3a30a3981763fbd29b6d37cdc2f73
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