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dslim/bert-large-NER

A fine-tuned BERT model that achieves state-of-the-art performance on the CoNLL-2003 Named Entity Recognition task. The model was trained on the English version of the standard CoNLL-2003 dataset and distinguishes between four types of entities: location, organization, person, and miscellaneous.

A fine-tuned BERT model that achieves state-of-the-art performance on the CoNLL-2003 Named Entity Recognition task. The model was trained on the English version of the standard CoNLL-2003 dataset and distinguishes between four types of entities: location, organization, person, and miscellaneous.

Public
$0.0005 / sec
demoapi

95c62bc0d4109bd97d0578e5ff482e6b84c2b8b9

2023-03-03T03:47:04+00:00