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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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+
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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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+ I am still working to make this model even less toxic.
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+
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+
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+
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+ You can use it directly using the transformers:
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+
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+ from transformers import AutoTokenizer, AutoModelForMaskedLM
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+
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+ tokenizer = AutoTokenizer.from_pretrained("Ashokajou51/NonToxicCivilBert")
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+
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+ model = AutoModelForMaskedLM.from_pretrained("Ashokajou51/NonToxicCivilBert")