readme: ---
  tags:
  - flair
  - token-classification
  - sequence-tagger-model
  ---
  ### Demo: How to use in Flair
  Requires:
  - **[Flair](https://github.com/flairNLP/flair/)** (`pip install flair`)
  ```python
  from flair.data import Sentence
  from flair.models import SequenceTagger
  # load tagger
  tagger = SequenceTagger.load("GuiGel/beto-uncased-flert-lstm-crf-meddocan")
  # make example sentence
  sentence = Sentence("On September 1st George won 1 dollar while watching Game of Thrones.")
  # predict NER tags
  tagger.predict(sentence)
  # print sentence
  print(sentence)
  # print predicted NER spans
  print('The following NER tags are found:')
  # iterate over entities and print
  for entity in sentence.get_spans('ner'):
      print(entity)
  ```