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license: mit
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# AutoDisProxyT-
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AutoDisProxyT is a distilled task-agnostic transformer model that leverages task transfer for learning a small universal model that can be applied to arbitrary tasks and languages as outlined in the paper [Few-shot Task-agnostic Neural Architecture Search for
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Distilling Large Language Models](https://proceedings.neurips.cc/paper_files/paper/2022/file/b7c12689a89e98a61bcaa65285a41b7c-Paper-Conference.pdf).
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license: mit
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# AutoDisProxyT-MNLI for Distilling Massive Neural Networks
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AutoDisProxyT is a distilled task-agnostic transformer model that leverages task transfer for learning a small universal model that can be applied to arbitrary tasks and languages as outlined in the paper [Few-shot Task-agnostic Neural Architecture Search for
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Distilling Large Language Models](https://proceedings.neurips.cc/paper_files/paper/2022/file/b7c12689a89e98a61bcaa65285a41b7c-Paper-Conference.pdf).
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