readme: ```python
  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
  
  GED_TOKENIZER = AutoTokenizer.from_pretrained("zuu/grammar-error-correcter")
  GED_MODEL = AutoModelForSeq2SeqLM.from_pretrained("zuu/grammar-error-correcter")
  
  # Incorrect text
  incorrect_text = 'young children should avoid exposure to contageous disease'
  
  # Tokenize text
  tokens= GED_TOKENIZER(
                                  [incorrect_text], 
                                  padding=True, 
                                  return_tensors='pt'
                                  )
  
  corrections = GED_MODEL.generate(**tokens)
  corrections = GED_TOKENIZER.batch_decode(
                                        corrections, 
                                        skip_special_tokens=True
                                        )
  ```