Skip to content

DeepVAC/transformer

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

transformer

符合DeepVAC规范的transformer实现。
DeepVAC-compliant transformer implementation.

运行

MLab HomePod 2.0

在MLab HomePod 2.0上运行该项目,无需安装任何依赖,只需要输入如下命令即可开始训练:

python train.py

自定义环境

需要至少安装:

  • pytorch 1.8+;
  • numpy
  • deepvac 0.6.0+

然后输入如下命令即可开始训练:

python train.py

数据集

该项目所使用数据集来自:ancient_morden_chinese

配置

该项目符合DeepVAC规范,相关配置均包含在config.py中,配置项的含义也符合DeepVAC规范,请自行阅读DeepVAC规范

About

DeepVAC-compliant transformer implementation.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages