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uv-scripts/gliner

GLiNER UV Scripts Zero-shot named-entity recognition over Hugging Face datasets using GLiNER. Pass a list of entity types at runtime — no fine-tuning required. For text classification with GLiNER2 (a separate library from Fastino): zero-shot, then fine-tuning on your own labels, see uv-scripts/classification. Script What it does Output extract-entities.py Extract entities from a text column with a custom set of types New entities column (list of {start, end, text… See the full description on the dataset page: https://huggingface.co/datasets/uv-scripts/gliner.

sourceHugging Faceapache-2.0updated 17d agoView on Hugging Face
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6 commits on main
283105717d ago

Sync from GitHub via hub-sync

davanstrien
a19b6733mo ago

Sync from GitHub via hub-sync

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43d38264mo ago

Sync from GitHub via hub-sync

davanstrien
7a8f0015mo ago

extract-entities: support local parquet/jsonl paths for mounted-bucket workflows

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799d6335mo ago

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94454af5mo ago

initial commit

davanstrien