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 diseases.json from Av1447/Health: direct link, hf CLI and curl.
- Browser
- Download file 139 Bytes
-
https://huggingface.co/Av1447/Health/resolve/main/diseases.json
- Command line
-
hf download hf://Av1447/Health/diseases.json
-
curl -L -o diseases.json https://huggingface.co/Av1447/Health/resolve/main/diseases.json
139 Bytes
| [ | |
| "Asthma", | |
| "COVID-19", | |
| "Cold", | |
| "Diabetes", | |
| "Flu", | |
| "Hypertension", | |
| "Malaria", | |
| "Migraine", | |
| "Pneumonia", | |
| "Tuberculosis" | |
| ] |