--- title: XLM CLM English-German Reviews meta\_title: 'XLM CLM English-German Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter reviews by the users' company size, role or industry to find out how XLM CLM English-German works for a business like yours. date\_modified: '2025-05-15' parent\_category: name: Marketplace Apps url: https://www.g2.com/categories/marketplace-apps ---

# XLM CLM English-German Reviews & Product Details

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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Seller
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Discussions
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##### Pricing

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