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