get_from_cache in file_utils.py gobbles up error in making url requests

🐛 Bug

No information from the package on SSL error encountered, making it difficult to troubleshoot or figure out a workaround

Information

When trying to do: TFAutoModelWithLMHead.from_pretrained("t5-small")

Get an error: TypeError: stat: path should be string, bytes, os.PathLike or integer, not NoneType

The above is a result of an SSL error encountered when trying to fetch the model, however, since the exception handling isn’t proper within file_utils.py I don’t come to know of it, unless I debug.

Model I am using (Bert, XLNet …): T5

Language I am using the model on (English, Chinese …): English

The problem arises when using:

• [ x] the official example scripts: (give details below)
• my own modified scripts: (give details below)

https://huggingface.co/transformers/usage.html#summarization

The tasks I am working on is:

• an official GLUE/SQUaD task: (give the name)
• [ x] my own task or dataset: (give details below) Just getting familiar with transformers for summarization

To reproduce

You need a machine with an expired certificate for proxy etc.

Steps to reproduce the behavior:

1. See information above

Expected behavior

If there has been an issue in fetching the pre-trained model from s3 bucket etc. I should get an error to that effect.

Environment info

• transformers version: 2.10.0
• Platform: Windows 10
• Python version: 3.7.4
• PyTorch version (GPU?): NA
• Tensorflow version (GPU?): 2.0.0 (Yes)
• Using GPU in script?: No
• Using distributed or parallel set-up in script?: No

[julien-c]

Yes I want to track and solve that issue in the next couple of weeks.

[gcolmen]

Hi @julien-c , I’m having the same issue as @stadelmanma (I’m behind a coporate proxy as well)

    config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
  File "/home/USER/anaconda3/envs/codebert/lib/python3.7/site-packages/transformers/configuration_utils.py", line 436, in get_config_dict
    raise EnvironmentError(msg)
OSError: Can't load config for 'microsoft/deberta-base'. Make sure that:

- 'microsoft/deberta-base' is a correct model identifier listed on 'https://huggingface.co/models'

- or 'microsoft/deberta-base' is the correct path to a directory containing a config.json file

I even tried setting the proxy in proxies: config = config_class.from_pretrained(args.config_name, proxies={'http://': '<HOST>:<PORT>'})

But same thing happens. Maybe there’s a workaround for this?

Many thanks!