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 ![XLM CLM English-German](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_f49fbbcf20160066d271e3aab7e51036/xlm-clm-english-german.png "XLM CLM English-German")
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# XLM CLM English-German Discussions

It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies the second sentence entails the first sentence, and the no-entailment implies it does not. The Text Embedding model which is pre-trained on English and German Wikipedia returns an embedding of the input pair of sentences. The model available for deployment is created by attaching a binary classification layer to the output of the Text Embedding model, and then fine-tuning the entire model on [QNLI]

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