readme: ---
  tags:
  - flair
  language: en
  datasets:
  - conll2003
  ---
  
  # Flair NER fine-tuned on Private Dataset
  
  This is specifically Designed on locations. the tag is <unk>
  
  ```python
  from flair.data import Sentence
  from flair.models import SequenceTagger
  # load tagger
  tagger = SequenceTagger.load("Saisam/Inquirer_ner_loc")
  # 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)
  ```
  
  
  ```
  @inproceedings{akbik2018coling,
    title={Contextual String Embeddings for Sequence Labeling},
    author={Akbik, Alan and Blythe, Duncan and Vollgraf, Roland},
    booktitle = {{COLING} 2018, 27th International Conference on Computational Linguistics},
    pages     = {1638--1649},
    year      = {2018}
  }
  ```