---
license: mit
datasets:
- s-nlp/paradetox
language:
- en
library_name: transformers
tags:
- text2text-generation
widget:
- text: "Toxic version: who the fuck are you?"
  example_title: "toxic text 1"
- text: "Toxic version: time to pull this rubbish ."
  example_title: "toxic text 2"
- text: "Toxic version: how many niggers does it take to change a light bulb ?"
  example_title: "toxic text 3"
---

### This model is a finetuned T5 base model, for detoxifying texts.

# How to Prompt ?

* Input text : ```"Toxic version: <some toxic text>"```

* Then the output will be like : ```"Non-toxic version: <the non-toxic version of input text>"```