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# CoNLL-03 benchmark
Ner English
Flair's built-in standard English 4-category named entity recognition model, based on Flair embeddings and LSTM-CRF architecture, achieving an F1 score of 93.06 on the CoNLL-03 dataset.
Sequence Labeling English
N
flair
127.67k
34
Ner Multi
Flair's standard 4-class NER model, suitable for named entity recognition tasks in English, German, Dutch, and Spanish
Sequence Labeling Supports Multiple Languages
N
flair
6,369
8
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