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  This is an off-the-shelf roberta-large model finetuned on WANLI, the Worker-AI Collaborative NLI dataset ([Liu et al., 2022](https://arxiv.org/abs/2201.05955)). It outperforms the `roberta-large-mnli` model on seven out-of-domain test sets, including by 11% on HANS and 9% on Adversarial NLI.
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  ### How to use
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- ```
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  from transformers import RobertaTokenizer, RobertaForSequenceClassification
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  model = RobertaForSequenceClassification.from_pretrained('alisawuffles/roberta-large-wanli')
 
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  This is an off-the-shelf roberta-large model finetuned on WANLI, the Worker-AI Collaborative NLI dataset ([Liu et al., 2022](https://arxiv.org/abs/2201.05955)). It outperforms the `roberta-large-mnli` model on seven out-of-domain test sets, including by 11% on HANS and 9% on Adversarial NLI.
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  ### How to use
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+ ```python
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  from transformers import RobertaTokenizer, RobertaForSequenceClassification
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  model = RobertaForSequenceClassification.from_pretrained('alisawuffles/roberta-large-wanli')