ValueError: md5 for D:\Anaconda\envs\stanza\Lib\site-packages\stanza\stanza_resources\zh-hans\tokenize\gsdsimp.pt is 48f993223d568afedc2893f7cd76719c, expected 68fb709f2a556b132b4915f2b3893ce7

[YuhuYang]

Describe the bug
When I download the 'zh-hans' model, but I get the following error:

To Reproduce
Steps to reproduce the behavior:
2025-01-27 23:16:08 INFO: Checking for updates to resources.json in case models have been updated. Note: this behavior can be turned off with download_method=None or download_method=DownloadMethod.REUSE_RESOURCES
Downloading https://huggingface.co/stanfordnlp/stanza-zh-hans/resolve/v1.10.0/models/tokenize/gsdsimp.pt: 100%|█| 1.38M/1.38
Traceback (most recent call last):
File "d:\papers_2\cooperation\华语树库\stanza_parse.py", line 4, in
nlp = stanza.Pipeline(lang='zh-hans')
File "D:\Anaconda\envs\stanza\lib\site-packages\stanza\pipeline\core.py", line 252, in init
download_models(download_list,
File "D:\Anaconda\envs\stanza\lib\site-packages\stanza\resources\common.py", line 532, in download_models
request_file(
File "D:\Anaconda\envs\stanza\lib\site-packages\stanza\resources\common.py", line 159, in request_file
assert_file_exists(path, md5, alternate_md5)
File "D:\Anaconda\envs\stanza\lib\site-packages\stanza\resources\common.py", line 112, in assert_file_exists
raise ValueError("md5 for %s is %s, expected %s" % (path, file_md5, md5))
ValueError: md5 for D:\Anaconda\envs\stanza\Lib\site-packages\stanza\stanza_resources\zh-hans\tokenize\gsdsimp.pt is 48f993223d568afedc2893f7cd76719c, expected 68fb709f2a556b132b4915f2b3893ce7

Expected behavior
No error at the end of download.

Environment (please complete the following information):

• OS: Windows
• Python version: Python 3.9.21 from Anaconda
• Stanza version: 1.10.1

[mil7]

Hi there,

we see a exactly the same error for stanza version 1.10.1 with
`resources_1.10.0.json and language "de". In our case we solved the issue by invalidating our Artifactory's cache (where our company expects us to draw our dependencies from).

Try to check something:

When I compared our cached version with the most recent json's version I realized that the md5 hash differ.
Unfortunately, for your language the md5 hash looks the same. But that might just be the case because the resources_1.10.0.json has been updated several times without changing the version. This makes it hard for caching systems to be up to date.

Is this a known bug?