readme: ---
  pipeline_tag: text-classification
  license: apache-2.0
  language: 
    - it
  tags:
  - cross-encoder
  - sentence-similarity
  - transformers
  ---
  # Cross-Encoder
  
  The model can be used for Information Retrieval: given a query, encode the query will all possible passages. Then sort the passages in a decreasing order.
  
  <p align="center">
      <img src="https://www.exibart.com/repository/media/2020/07/bridget-riley-cool-edge.jpg" width="400"> </br>
      Bridget Riley, COOL EDGE
  </p>
  
  ## Training Data
  
  This model was trained on a custom biomedical ranking dataset.
  
  ## Usage and Performance
  
  ```python
  from sentence_transformers import CrossEncoder
  model = CrossEncoder('efederici/cross-encoder-distilbert-it')
  scores = model.predict([('Sentence 1', 'Sentence 2'), ('Sentence 3', 'Sentence 4')])
  ```
  
  The model will predict scores for the pairs `('Sentence 1', 'Sentence 2')` and `('Sentence 3', 'Sentence 4')`.