| # 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. | |
| ## 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. | |
| ## Usage and Performance | |
| 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')]) | |
| ``` | |
| The model will predict scores for the pairs `('Sentence 1', 'Sentence 2')` and `('Sentence 3', 'Sentence 4')`. | |
| You can use this model also without sentence_transformers and by just using Transformers ``AutoModel`` class |