 How to use To use this model install the `sentence-transformers` package (see here: <https://github.com/UKPLab/sentence-transformers>).  ```python from sentence_transformers import SentenceTransformer model = SentenceTransformer('T-Systems-onsite/cross-en-de-roberta-sentence-transformer') ```  For details of usage and examples see here: - [Computing Sentence Embeddings](https://www.sbert.net/docs/usage/computing_sentence_embeddings.html) - [Semantic Textual Similarity](https://www.sbert.net/docs/usage/semantic_textual_similarity.html) - [Paraphrase Mining](https://www.sbert.net/docs/usage/paraphrase_mining.html) - [Semantic Search](https://www.sbert.net/docs/usage/semantic_search.html) - [Cross-Encoders](https://www.sbert.net/docs/usage/cross-encoder.html) - [Examples on GitHub](https://github.com/UKPLab/sentence-transformers/tree/master/examples)  