Rifqi Hafizuddin
[NOTICKET] feat(knowledge_extraction): free stages — models, seam adapter, filters, cluster, ranking
024c30a Download src/knowledge_extraction/rank/__init__.py from DataEyond/Agentic-Service-Data-Eyond-Catalog: direct link, hf CLI and curl.
- Browser
- Download file 119 Bytes
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https://huggingface.co/spaces/DataEyond/Agentic-Service-Data-Eyond-Catalog/resolve/717452f69ec32394dea2a8fc11aba47eebe5bc53/src/knowledge_extraction/rank/__init__.py
- Command line
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hf download hf://spaces/DataEyond/Agentic-Service-Data-Eyond-Catalog@717452f69ec32394dea2a8fc11aba47eebe5bc53/src/knowledge_extraction/rank/__init__.py
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curl -L -o __init__.py https://huggingface.co/spaces/DataEyond/Agentic-Service-Data-Eyond-Catalog/resolve/717452f69ec32394dea2a8fc11aba47eebe5bc53/src/knowledge_extraction/rank/__init__.py
119 Bytes
| from .evidence import rank_evidence, rounds_available, top_k | |
| __all__ = ["rank_evidence", "rounds_available", "top_k"] | |