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roberta
xlm-r-distilroberta-base-paraphrase-v1
Instructions to use T-Systems-onsite/cross-en-fr-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-fr-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-fr-roberta-sentence-transformer")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("T-Systems-onsite/cross-en-fr-roberta-sentence-transformer") model = AutoModel.from_pretrained("T-Systems-onsite/cross-en-fr-roberta-sentence-transformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d63dd4ca0540ccd6eb45efc0cec7b32836dc40f41286975b7e1dab011ea9915
- Size of remote file:
- 1.11 GB
- SHA256:
- 6d102e90d3906ac207b442f4beb6df5bb601fed5d6e808cbc759937e46a1b355
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