readme: ---
  language:
  - id
  ---
  # Paraphrase Generation with IndoT5 Base
  
  IndoT5-base trained on translated PAWS.
  
  ## Model in action
  
  ```python
  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
  
  tokenizer = AutoTokenizer.from_pretrained("Wikidepia/IndoT5-base-paraphrase")  
  model = AutoModelForSeq2SeqLM.from_pretrained("Wikidepia/IndoT5-base-paraphrase")
  
  sentence = "Anak anak melakukan piket kelas agar kebersihan kelas terjaga"
  text =  "paraphrase: " + sentence + " </s>"
  
  encoding = tokenizer(text, padding='longest', return_tensors="pt")
  outputs = model.generate(
      input_ids=encoding["input_ids"], attention_mask=encoding["attention_mask"],
      max_length=512,
      do_sample=True,
      top_k=200,
      top_p=0.95,
      early_stopping=True,
      num_return_sequences=5
  )
  ```
  
  ## Limitations
  
  Sometimes paraphrase contain date which doesnt exists in the original text :/
  
  ## Acknowledgement
  
  Thanks to Tensorflow Research Cloud for providing TPU v3-8s.