Rifqi Hafizuddin
[NOTICKET] feat(knowledge_extraction): free stages — models, seam adapter, filters, cluster, ranking
024c30a Download src/knowledge_extraction/cluster/__init__.py from DataEyond/Agentic-Service-Data-Eyond-Catalog: direct link, hf CLI and curl.
- Browser
- Download file 166 Bytes
-
https://huggingface.co/spaces/DataEyond/Agentic-Service-Data-Eyond-Catalog/resolve/717452f69ec32394dea2a8fc11aba47eebe5bc53/src/knowledge_extraction/cluster/__init__.py
- Command line
-
hf download hf://spaces/DataEyond/Agentic-Service-Data-Eyond-Catalog@717452f69ec32394dea2a8fc11aba47eebe5bc53/src/knowledge_extraction/cluster/__init__.py
-
curl -L -o __init__.py https://huggingface.co/spaces/DataEyond/Agentic-Service-Data-Eyond-Catalog/resolve/717452f69ec32394dea2a8fc11aba47eebe5bc53/src/knowledge_extraction/cluster/__init__.py
166 Bytes
| from .cluster import cluster_mentions | |
| from .normalize import AbbrevIndex, is_noise, normalize | |
| __all__ = ["AbbrevIndex", "cluster_mentions", "is_noise", "normalize"] | |