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
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README.md
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## Citation
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```bibtex
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@
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title={Towards Unsupervised Recognition of Semantic Differences in Related Documents},
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author={Jannis Vamvas and Rico Sennrich},
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}
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```
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## Citation
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```bibtex
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@inproceedings{vamvas-sennrich-2023-rsd,
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title={Towards Unsupervised Recognition of Token-level Semantic Differences in Related Documents},
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author={Jannis Vamvas and Rico Sennrich},
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month = dec,
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year = "2023",
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booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing",
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address = "Singapore",
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publisher = "Association for Computational Linguistics",
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}
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```
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