readme: # Telugu Question-Answering model trained on Tydiqa dataset from Google
  
  #### How to use
  Use the below script from your python terminal as the web interface for inference has few encoding issues for Telugu
  ```python
  from transformers.pipelines import pipeline, AutoModelForQuestionAnswering, AutoTokenizer
  model = AutoModelForQuestionAnswering.from_pretrained(model_name)
  tokenizer = AutoTokenizer.from_pretrained("kuppuluri/telugu_bertu_tydiqa",
                                            clean_text=False,
                                            handle_chinese_chars=False,
                                            strip_accents=False,
                                            wordpieces_prefix='##')
  nlp = pipeline('question-answering', model=model, tokenizer=tokenizer)
  result = nlp({'question': question, 'context': context})
  ```
  
  ## Training data
  I used Tydiqa Telugu data from Google https://github.com/google-research-datasets/tydiqa
  
  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.
  