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---
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>"``` |