Instructions to use saranka85/predictive-maintenance-random-forest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use saranka85/predictive-maintenance-random-forest with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("saranka85/predictive-maintenance-random-forest", "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:
- f7b0b7c845d758d56b9109f67a772eb0ccb5dc65b63e680c6eebbd7b07365702
- Size of remote file:
- 84.1 MB
- SHA256:
- a0f89f5434d40305768aba15573fe6e47ce633e032034721c4a437e6a8c511f2
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