readme: ---
  language: en
  ---
  SQuAD 1.1 question-answering based on T5-small. 
  Example use: 
  
  ```python
  from transformers import T5Config, T5ForConditionalGeneration, T5Tokenizer
  
  model_name = "allenai/t5-small-next-word-generator-qoogle"
  tokenizer = T5Tokenizer.from_pretrained(model_name)
  model = T5ForConditionalGeneration.from_pretrained(model_name)
  
  def run_model(input_string, **generator_args):
      input_ids = tokenizer.encode(input_string, return_tensors="pt")
      res = model.generate(input_ids, **generator_args)
      output = tokenizer.batch_decode(res, skip_special_tokens=True)
      print(output)
      return output
  
  run_model("Who is the winner of 2009 olympics? \n Jack and Jill participated, but James won the games.")```
  which should result in the following:
  ```
  ['James']
  ``` 
  
  