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
- Xet hash:
- d59c4efc74a4eded9ea0bae4ab3d0517b9e6fa0f511539f959dd342f74d8ab58
- Size of remote file:
- 524 kB
- SHA256:
- 6f9541955e2ce47f6eed758d817dad7a806ae2e229804305844699e73d6678dc
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