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pip install flair)1from flair.data import Sentence
2from flair.models import SequenceTagger
3# load tagger
4tagger = SequenceTagger.load("GuiGel/meddocan")
5# make example sentence
6sentence = Sentence("On September 1st George won 1 dollar while watching Game of Thrones.")
7# predict NER tags
8tagger.predict(sentence)
9# print sentence
10print(sentence)
11# print predicted NER spans
12print('The following NER tags are found:')
13# iterate over entities and print
14for entity in sentence.get_spans('ner'):
15 print(entity)