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roberta
xlm-r-distilroberta-base-paraphrase-v1
paraphrase
Instructions to use T-Systems-onsite/german-roberta-sentence-transformer-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use T-Systems-onsite/german-roberta-sentence-transformer-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="T-Systems-onsite/german-roberta-sentence-transformer-v2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("T-Systems-onsite/german-roberta-sentence-transformer-v2") model = AutoModel.from_pretrained("T-Systems-onsite/german-roberta-sentence-transformer-v2") - Notebooks
- Google Colab
- Kaggle
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.
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