readme: ---
  datasets:
  - quora
  language: en
  license: mit
  pipeline_tag: text-classification
  tags:
  - roberta
  - text-classification
  ---
  # Cross-Encoder for Quora Duplicate Questions Detection
  
  This model was trained using [SentenceTransformers](https://sbert.net) [Cross-Encoder](https://www.sbert.net/examples/applications/cross-encoder/README.html) class.
  
  This model uses [roberta-large](https://huggingface.co/roberta-large).
  
  ## 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
  
  The trained model can be used like this:
  
  ```python
  from sentence_transformers import CrossEncoder
  
  model = CrossEncoder('model_name')
  scores = model.predict([('Question 1', 'Question 2'), ('Question 3', 'Question 4')])
  
  print(scores)
  ```
  