---
pipeline_tag: text-classification
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')`.