# Flair embeddings

Flair's built-in English fast phrase chunking model for identifying grammatical structures such as noun phrases and verb phrases in sentences.

Flair's default multilingual universal POS tagging model supporting 12 languages

Flair's built-in standard German 4-class NER model, based on Flair embeddings and LSTM-CRF architecture, achieves an F1 score of 87.94 on the German revised version of CoNLL-03.

Flair's built-in fast English POS tagging model, trained on Ontonotes dataset with an F1 score of 98.10.

Flair's standard 4-class NER model, suitable for named entity recognition tasks in English, German, Dutch, and Spanish