Skip to content

YvoGao/LAQDA

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

20 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the Tasks

The code for LAQDA.

quick start

create ENV

conda create -n LAQDA python=3.7
source activate LAQDA
pip install -r requirements.txt

run

Noting: before you start, you should download bert-base-uncased from https://huggingface.co/google-bert/bert-base-uncased, and change the path in the run.sh file to your own file path. The specific parameters per dataset in the paper are consistent with run.sh.

sh run.sh

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published