T-Systems-onsite/german-roberta-sentence-transformer-v2

German RoBERTa for Sentence Embeddings V2 is slightly better for German language . It is also the current best model for English language and works cross-lingually . Sentence-BERT (SBERT) is a modification of the pretrained BERT network that use siamese and triplet network structures to derive semantically meaningful sentence embeddings that can be compared using cosine-similarity to find sentences with a similar semantic meaning . For example this can be useful for semantic textual similarity, semantic search, or paraphrase mining . The new model is fine-tuned from Philip May and open-sourced by T-Systems-onsite .,