readme: ---
  license: apache-2.0
  ---
  ## Training Data
  This model was trained on the [Quora Duplicate Questions](https://www.quora.com/q/quoradata/First-Quora-Dataset-Release-Question-Pairs) dataset. The model will predict a score between 0 and 1 how likely the two given questions are duplicates.
  
  Note: The model is not suitable to estimate the similarity of questions, e.g. the two questions "How to learn Java" and "How to learn Python" will result in a rahter low score, as these are not duplicates.
  
  ## Usage and Performance
  
  Pre-trained models can be used like this:
  
  ```
  from sentence_transformers import CrossEncoder
  model = CrossEncoder('Shobhank-iiitdwd/RoBERTa-large-QQP')
  Question1='How does the Surface Pro himself 4 compare with iPad Pro?
  Question2='Why did Microsoft choose core m3 and not core i3 home Surface Pro 4?'
  Question3='What but is the best way to send money from China to the US?'
  Qestion4='What you send money to China?'
  scores = model.predict([('Question1', 'Question2'), ('Question3', 'Question4')])
  ```
  