readme: # Named Entity Recognition Model for Telugu
  
  #### How to use
  Use the below script from your python terminal as the web interface for inference has few encoding issues for Telugu
  
  PS: If you find my model useful, I would appreciate a note from you as it would encourage me to continue improving it and also add new models.
  
  ```python
  from simpletransformers.ner import NERModel
  model = NERModel('bert',
                   'kuppuluri/telugu_bertu_ner',
                   labels=[
                       'B-PERSON', 'I-ORG', 'B-ORG', 'I-LOC', 'B-MISC',
                       'I-MISC', 'I-PERSON', 'B-LOC', 'O'
                   ],
                   use_cuda=False,
                   args={"use_multiprocessing": False})
  
  text = "విరాట్ కోహ్లీ కూడా అదే నిర్లక్ష్యాన్ని ప్రదర్శించి కేవలం ఒక పరుగుకే రనౌటై పెవిలియన్ చేరాడు ."
  results = model.predict([text])
  ```
  
  ## Training data
  
  Training data is from https://github.com/anikethjr/NER_Telugu
  
  ## Eval results
  
  On the test set my results were
  
  eval_loss = 0.0004407190410447974
  
  f1_score = 0.999519076627124
  
  precision = 0.9994389677005691
  
  recall = 0.9995991983967936
  
  