sentence-transformers/stsb-xlm-r-multilingual

The model is from the sentence-transformers-repository.net . It was trained on SNLI + MultiNLI and on STS benchmark dataset. Further details on SBERT can be found in the paper: Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. For more details on the model, see: SberT.net - Pretrained Models. [Sentence-BerT] For example, the model is a multilingual version, trained on parallel data for 50+ languages. You can use the model directly from the model repository to compute sentence embeddings. For example: The model generates embedd,