Cross Encoder for Semantic Textual Similarity This model was trained using SentenceTransformers Cross Encoder class. Training Data This model was trained on the STS benchmark dataset. 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: 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
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