Instructions to use DeepNeural/heart_disease_classifier_model_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use DeepNeural/heart_disease_classifier_model_v1 with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("DeepNeural/heart_disease_classifier_model_v1", "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:
- 2eebe9623ac9243b94fa964f22650f334e66f088db8c2bc4bc01dbc1b40ea833
- Size of remote file:
- 65.6 kB
- SHA256:
- 268e203beae70f3f919a06ef65cb9237df169be25f15dc1a8f2f2f33a63c6a7a
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