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princeton-nlp/mabel-bert-base-uncased
mabel-bert-base-uncased is a fill-mask model from princeton-nlp. Use it when you need the model to fill a missing word. It is set up for transformers.
This is the model for MABEL, as described in our paper, "MABEL: Attenuating Gender Bias using Textual Entailment Data". MABEL is trained from an underlying bert-base-uncased backbone, and demonstrates a good bias-perf…
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From the Hugging Face model README
mabel-bert-base-uncasedThis is the model for MABEL, as described in our paper, "MABEL: Attenuating Gender Bias using Textual Entailment Data". MABEL is trained from an underlying bert-base-uncased backbone, and demonstrates a good bias-performance tradeoff across a suite of intrinsic and extrinsic bias metrics.