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---
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") |