T-Systems-onsite/cross-en-de-roberta-sentence-transformer

Sentence Transformers model is intended to compute sentence (text) embeddings for English and German text . It can then be compared with cosine-similarity to find sentences with a similar semantic meaning . The speciality of this model is that it also works cross-lingually . Regardless of the language, the sentences are translated into very similar vectors according to their semantics . This means that you can, for example, enter a search in German and find results according to the semantics in English and also in English . This can be useful for semantic textual similarity, semantic search, or paraphrase mining . The resulting model called xlm-r-distilroberta-base-par,