Instructions to use ClinBAY/pbc_complication_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use ClinBAY/pbc_complication_model with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("ClinBAY/pbc_complication_model", "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
Example Input: { "drug": "0", "age": 63, "sex": "male", "presence_of_asictes": "no", "presence_of_hepatomegaly": "no", "presence_of_spiders": 0, "presence_of_edema": 0, "serum_bilirubin": 1.5, "serum_cholesterol": 331, "albumin": 3.95, "alkaline_phosphatase": 577, "SGOT": 128.7, "platelets": 165, "prothrombin_time": 10.1 }
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