Feature Extraction
Transformers
PyTorch
TensorFlow
Safetensors
German
xlm-roberta
sentence_embedding
search
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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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special_tokens_map.json
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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": "<mask>"}
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