model = AutoAdapterModel.from_pretrained("distilbert-base-uncased") config = AdapterConfig.load("pfeiffer") model.load_adapter("nli/multinli@ukp", config=config)
{ "ln_after": false, "ln_before": false, "mh_adapter": false, "output_adapter": true, "adapter_residual_before_ln": false, "non_linearity": null, "original_ln_after": true, "original_ln_before": true, "reduction_factor": null, "residual_before_ln": true }
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@misc{pfeiffer2020adapterfusion, title={AdapterFusion: Non-Destructive Task Composition for Transfer Learning}, author={Jonas Pfeiffer and Aishwarya Kamath and Andreas Rücklé and Kyunghyun Cho and Iryna Gurevych}, year={2020}, eprint={2005.00247}, archivePrefix={arXiv}, primaryClass={cs.CL} }
@misc{williams2017broadcoverage, title={A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference}, author={Adina Williams and Nikita Nangia and Samuel R. Bowman}, year={2017}, eprint={1704.05426}, archivePrefix={arXiv}, primaryClass={cs.CL} }