Flair

Model · Token classification

ner-english

Flair

This is the standard 4-class NER model for English that ships with Flair. Based on Flair embeddings and LSTM-CRF. So, the entities "George Washington" (labeled as a person) and "Washington" (labeled as a location) are found in the sentence "George Washington went to Washington". The following Flair script was used to train this model: Please cite the following paper when using this model. The Flair issue tracker is available here.

Model · Token classification

ner-german-large

Flair

This is the large 4-class NER model for German that ships with Flair. Based on document-level XLM-R embeddings and FLERT. So, the entities "George Washington" (labeled as a person) and "Washington" (labeled as a location) are found in the sentence "George Washington ging nach Washington". The following Flair script was used to train this model: Please cite the following paper when using this model. The Flair issue tracker is available here.