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cambridgeltl/
trans-encoder-bi-simcse-roberta-large

Name: trans-encoder-bi-simcse-roberta-large
Availability: InStock

text-embeddings-inference

endpoints_compatible

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language: en

tags:

sentence-embeddings
sentence-similarity
dual-encoder

cambridgeltl/trans-encoder-bi-simcse-roberta-large

An unsupervised sentence encoder (bi-encoder) proposed by Liu et al. (2021). The model is trained with unlabelled sentence pairs sampled from STS2012-2016, STS-b, and SICK-R, using princeton-nlp/unsup-simcse-roberta-large as the base model. Please use [CLS] (before pooler) as the representation of the input.

Citation

bibtex

@article{liu2021trans,
  title={Trans-Encoder: Unsupervised sentence-pair modelling through self-and mutual-distillations},
  author={Liu, Fangyu and Jiao, Yunlong and Massiah, Jordan and Yilmaz, Emine and Havrylov, Serhii},
  journal={arXiv preprint arXiv:2109.13059},
  year={2021}
}