Instructions to use T-Systems-onsite/cross-de-nl-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-de-nl-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-de-nl-roberta-sentence-transformer")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("T-Systems-onsite/cross-de-nl-roberta-sentence-transformer") model = AutoModel.from_pretrained("T-Systems-onsite/cross-de-nl-roberta-sentence-transformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Create README.md (#1)
Browse files- Create README.md (099499bbc419fa0982dc8712035d5cca1c3fd39c)
Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>