Tabular Classification
Scikit-learn
Joblib
ONNX
English
healthcare
medical
disease-prediction
ensemble
scikit-learn
Eval Results (legacy)
Instructions to use Av1447/Health with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Av1447/Health with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Av1447/Health", "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
Download model_lite.onnx from Av1447/Health: direct link, hf CLI and curl.
- Browser
- Download file 1.22 MB
-
https://huggingface.co/Av1447/Health/resolve/main/model_lite.onnx
- Command line
-
hf download hf://Av1447/Health/model_lite.onnx
-
curl -L -o model_lite.onnx https://huggingface.co/Av1447/Health/resolve/main/model_lite.onnx
1.22 MB
- Xet hash:
- 7fda27fd6af138d2a909f049bacb571abcec044c46bd61b4890b5fe22d5337cc
- Size of remote file:
- 1.22 MB
- SHA256:
- b04edafb90d5ffbd1ea4f2e8d72c4369d520502dda7d124e2532ea1ab91d47a8
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