Instructions to use Juan12Dev/heart_risk_ensemble_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Juan12Dev/heart_risk_ensemble_v3 with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Juan12Dev/heart_risk_ensemble_v3", "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:
- 46fa5e83542fb5cb54f6aca281bd17974ac77f95f47344561ab4a327125e57df
- Size of remote file:
- 124 MB
- SHA256:
- c875ad5863a4a3fd6972c26202d3be220e1247679a3e5efb9e16becde5a66578
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.