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Description

NonToxicCivilBert or '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")
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Model size
108M params
Tensor type
I64
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F32
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Dataset used to train Ashokajou51/NonToxicCivilBert