TypeError: 'NoneType' object is not subscriptable

[annabechang]

TypeError: 'NoneType' object is not subscriptable

[user1342]

As a quick fix for this. On version 0.5.0, I was able to get around this error by commenting out line 2572 in modeling_utils.py (see this fork of transformers):

Replace:
folder = os.path.sep.join(resolved_archive_file[0].split(os.path.sep)[:-1])
with
#folder = os.path.sep.join(resolved_archive_file[0].split(os.path.sep)[:-1])

I'm unsure if this fix will have repercussions later down the line, however, for the time being it seems to be working.

[laurahanu]

Hey all, thanks for raising this and good to see there's a workaround!

We will look into this asap!

[MartinPicc]

It is working for me with version 4.24.0, the next version however raises this error.
I believe it comes from this specific PR on transformers library merged in 4.25.1 huggingface/transformers#20321

However, it's not clear for me if this is an expected behavior on tranformers' side or if they introduced a bug

[robvanvolt]

Me too... python 3.8 on Linux. Maybe this is related to the latest release? It worked fine before.

[annabechang]

As a quick fix for this. On version 0.5.0, I was able to get around this error by commenting out line 2572 in modeling_utils.py (see this fork of transformers):

Replace: folder = os.path.sep.join(resolved_archive_file[0].split(os.path.sep)[:-1]) with #folder = os.path.sep.join(resolved_archive_file[0].split(os.path.sep)[:-1])

I'm unsure if this fix will have repercussions later down the line, however, for the time being it seems to be working.

thank you, this work for me as well!

[chrisji]

As a workaround, the v4.22.1 release of transformers appears to work as expected. So if installing via pip:

pip install detoxify
pip install transformers==4.22.1

(Other versions between the latest release and v4.22.1 may also work)

[laurahanu]

Hey everyone, pinned the transformers version to 4.22.1 as a quick fix for now as we investigate this problem further, everything should hopefully work as expected if you reinstall the package/upgrade the transformers version!

[MartinPicc]

It is apparently a bug on transformers side, and it should be fixed in next release with this PR: huggingface/transformers#21542

If you need a solution right now, you can also install transformers from their main branch directly, the PR is merged already