Instructions to use ZurichNLP/unsup-simcse-xlm-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZurichNLP/unsup-simcse-xlm-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ZurichNLP/unsup-simcse-xlm-roberta-base")# Load model directly from transformers import AutoTokenizer, RobertaForCL tokenizer = AutoTokenizer.from_pretrained("ZurichNLP/unsup-simcse-xlm-roberta-base") model = RobertaForCL.from_pretrained("ZurichNLP/unsup-simcse-xlm-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8a1eeb09af761b725f3de043523cbe34ff3adaca9ba61ec8599174cd801e147
- Size of remote file:
- 1.11 GB
- SHA256:
- 01ea13510cf1737c4830c63d6547c7e16aa577fbc134aede054577cedef54c4f
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