Instructions to use bteodoru/ucs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use bteodoru/ucs with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("bteodoru/ucs", "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:
- 48b54ae1f3a255f17eefd033e4cbf391323d6182d22b3f8d64058095b2799ce6
- Size of remote file:
- 988 kB
- SHA256:
- a3f22a7907b09eefef20d75849f08c295d97528129e1ecfeb97d771a51b9b527
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