Sudden random bug
### System Info

Here is the bug

```

  File "/home/suryahari/Vornoi/QA.py", line 5, in <module>
    model = AutoModelForQuestionAnswering.from_pretrained("deepset/roberta-base-squad2")
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/suryahari/miniconda3/envs/diffusers/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py", line 493, in from_pretrained
    return model_class.from_pretrained(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/suryahari/miniconda3/envs/diffusers/lib/python3.11/site-packages/transformers/modeling_utils.py", line 2629, in from_pretrained
    state_dict = load_state_dict(resolved_archive_file)
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/suryahari/miniconda3/envs/diffusers/lib/python3.11/site-packages/transformers/modeling_utils.py", line 447, in load_state_dict
    with safe_open(checkpoint_file, framework="pt") as f:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
OSError: No such device (os error 19)
```



- `transformers` version: 4.31.0
- Platform: Linux-5.15.0-69-generic-x86_64-with-glibc2.35
- Python version: 3.11.4
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: not installed
- Using GPU in script?: yes but can avoid
- Using distributed or parallel set-up in script?: not really

### Who can help?

@Narsil ? @younesbelkada @ArthurZucker @amyeroberts 

### Information

- [ ] The official example scripts
- [X] My own modified scripts

### Tasks

- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)

### Reproduction

Create a new env and run the following code
```

# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering

tokenizer = AutoTokenizer.from_pretrained("deepset/roberta-base-squad2")
model = AutoModelForQuestionAnswering.from_pretrained("deepset/roberta-base-squad2")
```

Also happened to me while running diffusers code, just posting QA code for now.

### Expected behavior

should be able to load a model
I can't really reproduce this and have not seen this anywhere else. The OS Error suggests that the interface is not available, meaning that most probably the path to your hugging face cache cannot be reached (not mounted/ not right etc). A [simple reproducer](https://colab.research.google.com/drive/1S7CRnNIUPnmDWcTuFY4BI0H8ASu221-w?usp=sharing) available here.<|||||>I've seen that happen when using network mounted disks.

If the network is flaky then the read might fail even though the rest went fine. Error should be transient though.
Could that be it ?

<|||||>Not sure - the program fails even on a new env on my computer but works in google colab. @ArthurZucker the link you sent has permission issues.