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ModelZoo
UMT5_pytorch
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188237b8
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188237b8
authored
Apr 17, 2025
by
chenzk
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@@ -86,10 +86,6 @@ pip install -r requirements.txt -i http://mirrors.aliyun.com/pypi/simple
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@@ -86,10 +86,6 @@ pip install -r requirements.txt -i http://mirrors.aliyun.com/pypi/simple
我们选择大规模中文短文本摘要语料库
[
LCSTS
](
http://icrc.hitsz.edu.cn/Article/show/139.html
)
作为数据集,该语料基于新浪微博短新闻构建,规模超过 200 万。
我们选择大规模中文短文本摘要语料库
[
LCSTS
](
http://icrc.hitsz.edu.cn/Article/show/139.html
)
作为数据集,该语料基于新浪微博短新闻构建,规模超过 200 万。
数据集快速下载中心:
[
SCNet datasets
](
http://113.200.138.88:18080/aidatasets
)
项目中的数据集可从快速下载通道下载:
[
LCSTS
](
http://113.200.138.88:18080/aidatasets/suolyer/lcsts
)
```
```
├── data
├── data
| ├── data1.tsv
| ├── data1.tsv
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@@ -145,10 +141,6 @@ python umt5_summary.py
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@@ -145,10 +141,6 @@ python umt5_summary.py
-
[
hf-mirror umt5预训练模型下载地址
](
https://hf-mirror.com/collections/google/mt5-release-65005f1a520f8d7b4d039509
)
-
[
hf-mirror umt5预训练模型下载地址
](
https://hf-mirror.com/collections/google/mt5-release-65005f1a520f8d7b4d039509
)
预训练权重快速下载中心:
[
SCNet AIModels
](
https://www.scnet.cn/ui/aihub/models
)
项目中的预训练权重可从快速下载通道下载:
[
umt5
](
https://www.scnet.cn/ui/aihub/models/umt5
)
## 源码仓库及问题反馈
## 源码仓库及问题反馈
-
http://developer.hpccube.com/codes/modelzoo/umt5.git
-
http://developer.hpccube.com/codes/modelzoo/umt5.git
## 参考资料
## 参考资料
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