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# CPT
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## Requirements
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First, install PyTorch by following the instructions from [the official website](https://pytorch.org). To faithfully reproduce our results, please use the correct `1.7.0` version corresponding to your platforms/CUDA versions. PyTorch version higher than `1.7.0` should also work. For example, if you use Linux and **CUDA11** ([how to check CUDA version](https://varhowto.com/check-cuda-version/)), install PyTorch by the following command,
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# CPT
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This repository contains the code and pre-trained models for our EMNLP'22 paper [Continual Training of Language Models for Few-Shot Learning](https://arxiv.org/abs/2210.05549) by <a href="https://vincent950129.github.io/"> Zixuan Ke</a>, <a href="https://linhaowei1.github.io/">Haowei Lin</a>, <a href="https://shaoyijia.github.io/">Yijia Shao</a>, <a href="https://howardhsu.github.io/">Hu Xu</a>, <a href="https://leishu02.github.io/">Lei Shu</a>, and <a href="https://www.cs.uic.edu/~liub/">Bing Liu</a>.
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## Requirements
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First, install PyTorch by following the instructions from [the official website](https://pytorch.org). To faithfully reproduce our results, please use the correct `1.7.0` version corresponding to your platforms/CUDA versions. PyTorch version higher than `1.7.0` should also work. For example, if you use Linux and **CUDA11** ([how to check CUDA version](https://varhowto.com/check-cuda-version/)), install PyTorch by the following command,
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