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:
- cf84b32c8b2f4f4addfb12f1b0ef8b010301008a8c2faf0918385362a1ba4ae2
- Size of remote file:
- 2.04 kB
- SHA256:
- c1764f6fe3d82c2855fe1c542fa563a90af7186bf1c63298e8eeb8a07c1ffe27
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