This open model applies BERT to English named entity recognition using the CoNLL-2003 dataset. Developers can run it locally with Transformers or use supported inference providers for token classification workflows.
In the Other AI space, Bert Large Cased Finetuned Conll03 English takes a focused approach. It focuses on identifying and classifying named entities in English text without training a model from scratch. Bert Large Cased Finetuned Conll03 English is an open-source project aimed at NLP developers and machine learning researchers. Bert Large Cased Finetuned Conll03 English is open source under the Open Source license. It runs on the web and API, and it can be self-hosted.
It is developed by Bayerische Staatsbibliothek (Germany). Among its 9 catalogued features are named entity recognition, token classification, and transformers support.
Summary written by a language model from the project’s public pages.
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