Skip to content

GitLab

Commit c9678312 authored by chenzk's avatar chenzk
Browse files

Update url.md

parent 00b0f272
Hide whitespace changes
Inline Side-by-side
Showing with 0 additions and 6 deletions
README.md
View file @ c9678312
...@@ -78,9 +78,6 @@ pip install -r requirements.txt ...@@ -78,9 +78,6 @@ pip install -r requirements.txt
数据集下载地址：https://s3.bmio.net/kashgari/china-people-daily-ner-corpus.tar.gz 数据集下载地址：https://s3.bmio.net/kashgari/china-people-daily-ner-corpus.tar.gz
人民日报数据集存放在目录/datasets/bert-base-chinese目录下，然后解压。 人民日报数据集存放在目录/datasets/bert-base-chinese目录下，然后解压。
数据集快速下载中心：[SCNet AIDatasets](http://113.200.138.88:18080/aidatasets)
项目中数据集可从快速下载通道下载：[china-people-daily-ner-corpus](http://113.200.138.88:18080/aidatasets/project-dependency/china-people-daily-ner-corpus/-/raw/master/china-people-daily-ner-corpus.tar.gz)
预训练模型下载地址：https://huggingface.co/bert-base-chinese/tree/main 预训练模型下载地址：https://huggingface.co/bert-base-chinese/tree/main
所有文件下载存放在目录/datasets/bert-base-chinese下。 所有文件下载存放在目录/datasets/bert-base-chinese下。
...@@ -140,9 +137,6 @@ cd examples/sequence_labeling/ ...@@ -140,9 +137,6 @@ cd examples/sequence_labeling/
## 权重下载 ## 权重下载
预训练权重快速下载中心：[SCNet AIModels](http://113.200.138.88:18080/aimodels)
项目中的预训练权重可从快速下载通道下载：[bert-base-chinese](http://113.200.138.88:18080/aimodels/bert-base-chinese)
## 源码仓库及问题反馈 ## 源码仓库及问题反馈
......
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment