README.md

metadata

datasets:
  - jigsaw_unintended_bias
language:
  - en
pipeline_tag: fill-mask
tags:
  - code
  - bert
  - non-toxic
  - nontoxicbert

Description

CivilBert is a further finetuned model of bert-based-uncased using only the non-toxic data of the Jigsaw-unintended-bias dataset to make the predicted tokens less toxic. We are working further to make this model better and less toxic.

You can use it directly using the transformers:

• from transformers import AutoTokenizer, AutoModelForMaskedLM
• tokenizer = AutoTokenizer.from_pretrained("Ashokajou51/NonToxicCivilBert")
• model = AutoModelForMaskedLM.from_pretrained("Ashokajou51/NonToxicCivilBert")