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  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
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- This model was trained on 6 different nli datasets. The model will predict a score between 0 (not similar) and 1 (very similar) how for the semantic similarity of two sentences.
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  ## Usage (CrossEncoder)
 
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  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
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+ This model was trained on 6 different nli datasets. The model will predict a score between 0 (not similar) and 1 (very similar) for the semantic similarity of two sentences.
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  ## Usage (CrossEncoder)