readme: ---
  license: apache-2.0
  ---
  <h2>Re-Punctuate:</h2>
  
  Re-Punctuate is a T5 model that attempts to correct Capitalization and Punctuations in the sentences.
  
  <h3>DataSet:</h3>
  
  DialogSum dataset (115056 Records) was used to fine-tune the model for Punctuation and Capitalization correction.
  
  <h3>Usage:</h3>
  
  <pre>
  
  from transformers import T5Tokenizer, TFT5ForConditionalGeneration
  
  tokenizer = T5Tokenizer.from_pretrained('SJ-Ray/Re-Punctuate')
  model = TFT5ForConditionalGeneration.from_pretrained('SJ-Ray/Re-Punctuate')
  
  input_text = 'the story of this brave brilliant athlete whose very being was questioned so publicly is one that still captures the imagination'
  inputs = tokenizer.encode("punctuate: " + input_text, return_tensors="tf") 
  result = model.generate(inputs)
  
  decoded_output = tokenizer.decode(result[0], skip_special_tokens=True)
  print(decoded_output)
  
  </pre>
  <h4> Example: </h4>
  <b>Input:</b>  the story of this brave brilliant athlete whose very being was questioned so publicly is one that still captures the imagination <br>
  <b>Output:</b> The story of this brave, brilliant athlete, whose very being was questioned so publicly, is one that still captures the imagination.
  
  <h4> Connect on: <a href="https://www.linkedin.com/in/suraj-kumar-710382a7" target="_blank">LinkedIn : Suraj Kumar</a></h4>