Instructions to use muthuk1/fairrelay-fairness-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use muthuk1/fairrelay-fairness-classifier with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("muthuk1/fairrelay-fairness-classifier", "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
Commit History
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v2: updated model card
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v2: updated metrics
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v2: retrained with realistic data
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Add model card for Fairness Classification Model (ACCEPT vs REOPTIMIZE)
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Add metrics for Fairness Classification Model (ACCEPT vs REOPTIMIZE)
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Add Fairness Classification Model (ACCEPT vs REOPTIMIZE) model
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initial commit
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