This is a RoBERTa-large classifier trained on the CoLA corpus [Warstadt et al., 2019](https://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00290), 
which contains sentences paired with grammatical acceptability judgments. The model can be used to evaluate fluency of machine-generated English sentences, e.g. for evaluation of text style transfer.

The model was trained in the paper [Krishna et al, 2020. Reformulating Unsupervised Style Transfer as Paraphrase Generation](https://arxiv.org/abs/2010.05700), and its original version is available at [their project page](http://style.cs.umass.edu). We converted this model from Fairseq to Transformers format. All credit goes to the authors of the original paper. 

## Citation
If you found this model useful and refer to it, please cite the original work:
```
@inproceedings{style20,
author={Kalpesh Krishna and John Wieting and Mohit Iyyer},
Booktitle = {Empirical Methods in Natural Language Processing},
Year = "2020",
Title={Reformulating Unsupervised Style Transfer as Paraphrase Generation},
}
```
{}
transformers pytorch safetensors roberta text-classification arxiv:2010.05700 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #roberta #text-classification #arxiv-2010.05700 #autotrain_compatible #endpoints_compatible #region-us 

This is a RoBERTa-large classifier trained on the CoLA corpus Warstadt et al., 2019, 
which contains sentences paired with grammatical acceptability judgments. The model can be used to evaluate fluency of machine-generated English sentences, e.g. for evaluation of text style transfer.

The model was trained in the paper Krishna et al, 2020. Reformulating Unsupervised Style Transfer as Paraphrase Generation, and its original version is available at their project page. We converted this model from Fairseq to Transformers format. All credit goes to the authors of the original paper. 

If you found this model useful and refer to it, please cite the original work:

TAGS
#transformers #pytorch #safetensors #roberta #text-classification #arxiv-2010.05700 #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #safetensors #roberta #text-classification #arxiv-2010.05700 #autotrain_compatible #endpoints_compatible #region-us 
