NuNER Zero is a zero shot Named Entity Recognition (NER) Model. (Check NuNER for the few shot setting). NuNER Zero uses the GLiNER architecture: its input should be a concatenation of entity types and text. Unlike GliNER, NuNER Zero is a token classifier, which allows detect arbitrary long entities. NuNER Zero was trained on NuNER v2.0 dataset, which combines subsets of Pile and C4 annotated via LLMs using NuNER's procedure. NuNER Zero is (at the time of its release) the best compact zero shot NER model (+3.1% token level F1 Score over GLiNER large v2.1 on GLiNERS's benchmark) Installation & Usage NuZero requires labels to be lower cased Fine tuning A fine tuning script can be found here. Citation This work Previous work
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