
### 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>"```
{"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["text2text-generation"], "datasets": ["s-nlp/paradetox"], "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"}]}
transformers safetensors t5 text2text-generation en dataset:s-nlp/paradetox license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us