| # 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. |
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| ## Training Data |
| This model was trained on the [STS benchmark dataset](http://ixa2.si.ehu.eus/stswiki/index.php/STSbenchmark). The model will predict a score between 0 and 1 how for the semantic similarity of two sentences. |
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| ## Usage and Performance |
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| Pre-trained models can be used like this: |
| ``` |
| from sentence_transformers import CrossEncoder |
| model = CrossEncoder('model_name') |
| scores = model.predict([('Sentence 1', 'Sentence 2'), ('Sentence 3', 'Sentence 4')]) |
| ``` |
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| The model will predict scores for the pairs `('Sentence 1', 'Sentence 2')` and `('Sentence 3', 'Sentence 4')`. |
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| You can use this model also without sentence_transformers and by just using Transformers ``AutoModel`` class |
