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--- |
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datasets: |
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- jigsaw_unintended_bias |
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language: |
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- en |
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pipeline_tag: fill-mask |
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tags: |
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- code |
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- bert |
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- non-toxic |
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- nontoxicbert |
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--- |
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# Description |
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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. |
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We are working further to make this model better and less toxic. |
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# You can use it directly using the transformers: |
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* from transformers import AutoTokenizer, AutoModelForMaskedLM |
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* tokenizer = AutoTokenizer.from_pretrained("Ashokajou51/NonToxicCivilBert") |
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* model = AutoModelForMaskedLM.from_pretrained("Ashokajou51/NonToxicCivilBert") |
