
Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, Ece Kamar.

This model comes from the paper [ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection](https://arxiv.org/abs/2203.09509) and can be used to detect implicit hate speech.

Please visit the [Github Repository](https://github.com/microsoft/TOXIGEN) for the training dataset and further details.

```bibtex
@inproceedings{hartvigsen2022toxigen,
    title = "{T}oxi{G}en: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection",
    author = "Hartvigsen, Thomas and Gabriel, Saadia and Palangi, Hamid and Sap, Maarten and Ray, Dipankar and Kamar, Ece",
    booktitle = "Proceedings of the 60th Annual Meeting of the Association of Computational Linguistics",
    year = "2022"
}
```
{"language": ["en"], "tags": ["text-classification"]}
transformers pytorch bert text-classification en arxiv:2203.09509 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #bert #text-classification #en #arxiv-2203.09509 #autotrain_compatible #endpoints_compatible #has_space #region-us 


Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, Ece Kamar.

This model comes from the paper ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection and can be used to detect implicit hate speech.

Please visit the Github Repository for the training dataset and further details.


TAGS
#transformers #pytorch #bert #text-classification #en #arxiv-2203.09509 #autotrain_compatible #endpoints_compatible #has_space #region-us 

passage: TAGS
#transformers #pytorch #bert #text-classification #en #arxiv-2203.09509 #autotrain_compatible #endpoints_compatible #has_space #region-us 
