XLM CLM English-German
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]
Who Is the Company Behind XLM CLM English-German?
- Seller: Amazon Web Services (AWS)
- Year Founded: 2006
- HQ Location: Seattle, WA
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Twitter: @awscloud
2,232,483 Twitter followers -
LinkedIn® Page: www.linkedin.com
147,094 employees on LinkedIn® - Ownership: NASDAQ: AMZN
