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:
- 67ce59ecc8042d9b550d110869589f7ec39a6d1240ff6043e3394877fe4d7034
- Size of remote file:
- 1.11 GB
- SHA256:
- 4839f0553d0d54bca51d27605cae589ae0f99d16ab2030a3103bcde65951e1bd
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