---
language: en

tags:
- sentence-embeddings
- sentence-similarity
- dual-encoder

### cambridgeltl/trans-encoder-bi-simcse-bert-large
An unsupervised sentence encoder (bi-encoder) proposed by [Liu et al. (2021)](https://arxiv.org/pdf/2109.13059.pdf). The model is trained with unlabelled sentence pairs sampled from STS2012-2016, STS-b, and SICK-R, using [princeton-nlp/unsup-simcse-bert-large-uncased](https://huggingface.co/princeton-nlp/unsup-simcse-bert-large-uncased) 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}
}
```

{}
transformers pytorch bert feature-extraction arxiv:2109.13059 endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #feature-extraction #arxiv-2109.13059 #endpoints_compatible #region-us 

---
language: en

tags:
- sentence-embeddings
- sentence-similarity
- dual-encoder

### cambridgeltl/trans-encoder-bi-simcse-bert-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-bert-large-uncased as the base model. Please use '[CLS]' (before pooler) as the representation of the input.


### cambridgeltl/trans-encoder-bi-simcse-bert-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-bert-large-uncased as the base model. Please use '[CLS]' (before pooler) as the representation of the input.
TAGS
#transformers #pytorch #bert #feature-extraction #arxiv-2109.13059 #endpoints_compatible #region-us 
 ### cambridgeltl/trans-encoder-bi-simcse-bert-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-bert-large-uncased as the base model. Please use '[CLS]' (before pooler) as the representation of the input.
passage: TAGS
#transformers #pytorch #bert #feature-extraction #arxiv-2109.13059 #endpoints_compatible #region-us 
### cambridgeltl/trans-encoder-bi-simcse-bert-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-bert-large-uncased as the base model. Please use '[CLS]' (before pooler) as the representation of the input.