Delete flair_test.py

flair_test.py

@@ -1,27 +0,0 @@
-# Import generic wrappers
-from transformers import AutoModel, AutoTokenizer
-
-
-if __name__ == "__main__":
-
-    from flair.data import Sentence
-    from flair.models import SequenceTagger
-
-    # load tagger
-    tagger = SequenceTagger.load("flair/ner-english-large")
-
-    # make example sentence
-    sentence = Sentence("George Washington went to Washington")
-
-    # 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)
-