readme: ---
  language: "en"
  tags:
  - style-transfer
  - text2text-generation
  - seq2seq
  inference: true
  ---
  ​
  # Formality Style Transfer
  ## Model description​
  T5 Model for Formality Style Transfer. Trained on the GYAFC dataset.​
  
  ## How to use
  ​PyTorch model available​.
  ```python
  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
  ​
  tokenizer = AutoTokenizer.from_pretrained("Isotonic/informal_to_formal")  
  model = AutoModelForSeq2SeqLM.from_pretrained("Isotonic/informal_to_formal")
  ​
  sentence = "will you look into these two deals and let me know"
  
  text =  "Make the following sentence Formal: " + sentence + " </s>"
  
  encoding = tokenizer.encode_plus(text,pad_to_max_length=True, return_tensors="pt")
  input_ids, attention_masks = encoding["input_ids"].to("cuda"), encoding["attention_mask"].to("cuda")
  
  
  outputs = model.generate(
      input_ids=input_ids, attention_mask=attention_masks,
      max_length=256,
      do_sample=True,
      top_k=120,
      top_p=0.95,
      early_stopping=True,
      num_return_sequences=5
  )
  
  for output in outputs:
      line = tokenizer.decode(output, skip_special_tokens=True,clean_up_tokenization_spaces=True)
      print(line)
  
  ​Output: "Would you look into the two deals in question, then let me know?"
  ```