Ashokajou51
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README.md
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Bert-Based-Uncased finetuned with the non-toxic only from the Jigsaw-unintended-bias dataset, to make the BERT
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prediction less toxic.
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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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Bert-Based-Uncased finetuned with the non-toxic only from the Jigsaw-unintended-bias dataset, to make the BERT
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prediction less toxic.
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I am still working to make this model even 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")
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