[!WARNING] THIS PROJECT HAS BEEN ARCHIVED. This project and its associated code on GitHub are no longer under active development or maintained. ONNX version of unitary/unbiased toxic roberta This model is a conversion of unitary/unbiased toxic roberta to ONNX format using the 🤗 Optimum library. Trained models & code to predict toxic comments on 3 Jigsaw challenges: Toxic comment classification, Unintended Bias in Toxic comments, Multilingual toxic comment classification. Built by Laura Hanu at Unitary. ⚠️ Disclaimer: The huggingface models currently give different results to the detoxify library (see issue here). Labels All challenges have a toxicity label. The toxicity labels represent the aggregate ratings of up to 10 annotators according the following schema: Very Toxic (a very hateful, aggressive, or disrespectful comment that is very likely to make you leave a discussion or give up on sharing your perspective) Toxic (a rude, disrespectful, or unreasonable comment that is somewhat likely to make you leave a discussion or give up on sharing your perspective) Hard to Say Not Toxic More information about the labelling schema can be found here. Toxic Comment Classification Challen…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy