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('model_name')
  scores = model.predict([('Question 1', 'Question 2'), ('Question 3', 'Question 4')])
  ```
  
  You can use this model also without sentence_transformers and by just using Transformers ``AutoModel`` class