Instructions to use sergiopesch/wc2026-match-predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use sergiopesch/wc2026-match-predictor with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("sergiopesch/wc2026-match-predictor", "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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ml-champion-v4
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ml-champion-v4
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ml-champion-v3 weights + meta
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ml-champion-v3 weights + meta
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ml-blend-v2 weights + meta
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ml-blend-v2 weights + meta
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ml-xgboost-v1 model artifact + model card
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initial commit
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