Feature Extraction
Transformers
PyTorch
Safetensors
English
German
Russian
xlm-roberta
sentence_embedding
Instructions to use T-Systems-onsite/cross-en-de-ru-roberta-sentence-transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use T-Systems-onsite/cross-en-de-ru-roberta-sentence-transformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="T-Systems-onsite/cross-en-de-ru-roberta-sentence-transformer")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("T-Systems-onsite/cross-en-de-ru-roberta-sentence-transformer") model = AutoModel.from_pretrained("T-Systems-onsite/cross-en-de-ru-roberta-sentence-transformer") - Notebooks
- Google Colab
- Kaggle