Converting CPT to bert form for use

Overview

cpt-encoder

  • 将CPT转成bert形式使用

说明

刚刚刷到又出了一种模型:CPT,看论文显示,在很多中文任务上性能比mac bert还好,就迫不及待想把它用起来。

根据对源码的研究,发现该模型在做nlu建模时主要用的encoder部分,也就是bert,因此我将这部分权重转为bert权重类型,方便 做nlu任务。

当然,想要发挥CPT的性能,还是得用官方代码用生成方式来使用,如prompt。

性能还未测试,第一个epoch看起来和roberta差不多。

加载方式

使用huggingface的transformers就可以加载,和BERT一样的方式。

转换代码

convert_cpt_to_bert.py

转好的权重地址

cpt-encoder-base: https://pan.baidu.com/s/1PqUAWNczX9vVcFtRHcE5cg 提取码:2fo2

cpt-encoder-large: https://pan.baidu.com/s/1KwumkF1NRL6wX7aifnq4xA 提取码:ke7o

官方地址

论文:CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation

github:CPT

Reference

  1. CPT
Owner
黄辉
黄辉
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