readme: Sample usage: 
  ```python 
  tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
  model = GPT2LMHeadModel.from_pretrained("danyaljj/gpt2_question_generation_given_paragraph_answer")
  input_ids = tokenizer.encode("There are two apples on the counter. A: apples Q:", return_tensors="pt")
  outputs = model.generate(input_ids)
  print("Generated:", tokenizer.decode(outputs[0], skip_special_tokens=True))
  ```
  Which should produce this: 
  ```
  Generated: There are two apples on the counter. A: apples Q: What is the name of the counter
  ```