
# German RoBERTa for Sentence Embeddings V2
**The new [T-Systems-onsite/cross-en-de-roberta-sentence-transformer](https://huggingface.co/T-Systems-onsite/cross-en-de-roberta-sentence-transformer) model is slightly better for German language. It is also the current best model for English language and works cross-lingually. Please consider using that model.**

{"language": "de", "license": "mit", "tags": ["sentence_embedding", "search", "pytorch", "xlm-roberta", "roberta", "xlm-r-distilroberta-base-paraphrase-v1", "paraphrase"], "datasets": ["STSbenchmark"], "metrics": ["Spearman\u2019s rank correlation", "cosine similarity"]}
transformers pytorch tf safetensors xlm-roberta feature-extraction sentence_embedding search roberta xlm-r-distilroberta-base-paraphrase-v1 paraphrase de dataset:STSbenchmark license:mit endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #safetensors #xlm-roberta #feature-extraction #sentence_embedding #search #roberta #xlm-r-distilroberta-base-paraphrase-v1 #paraphrase #de #dataset-STSbenchmark #license-mit #endpoints_compatible #has_space #region-us 


# German RoBERTa for Sentence Embeddings V2
The new T-Systems-onsite/cross-en-de-roberta-sentence-transformer model is slightly better for German language. It is also the current best model for English language and works cross-lingually. Please consider using that model.

# German RoBERTa for Sentence Embeddings V2
The new T-Systems-onsite/cross-en-de-roberta-sentence-transformer model is slightly better for German language. It is also the current best model for English language and works cross-lingually. Please consider using that model.
TAGS
#transformers #pytorch #tf #safetensors #xlm-roberta #feature-extraction #sentence_embedding #search #roberta #xlm-r-distilroberta-base-paraphrase-v1 #paraphrase #de #dataset-STSbenchmark #license-mit #endpoints_compatible #has_space #region-us 
 # German RoBERTa for Sentence Embeddings V2
The new T-Systems-onsite/cross-en-de-roberta-sentence-transformer model is slightly better for German language. It is also the current best model for English language and works cross-lingually. Please consider using that model.
passage: TAGS
#transformers #pytorch #tf #safetensors #xlm-roberta #feature-extraction #sentence_embedding #search #roberta #xlm-r-distilroberta-base-paraphrase-v1 #paraphrase #de #dataset-STSbenchmark #license-mit #endpoints_compatible #has_space #region-us 
# German RoBERTa for Sentence Embeddings V2
The new T-Systems-onsite/cross-en-de-roberta-sentence-transformer model is slightly better for German language. It is also the current best model for English language and works cross-lingually. Please consider using that model.