TypeError: 'NoneType' object is not subscriptable in modeling_utils.py
### System Info

Using free tier Google Colab, it gives the following output of `transformers-cli env`:

2023-03-07 12:26:45.314129: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia
2023-03-07 12:26:45.314255: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia
2023-03-07 12:26:45.314280: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
WARNING:tensorflow:From /usr/local/lib/python3.8/dist-packages/transformers/commands/env.py:52: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.config.list_physical_devices('GPU')` instead.
2023-03-07 12:26:49.528826: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:42] Overriding orig_value setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.

Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.

- `transformers` version: 4.26.1
- Platform: Linux-5.10.147+-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.12.1
- PyTorch version (GPU?): 1.13.1+cu116 (True)
- Tensorflow version (GPU?): 2.11.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: not installed
- Using GPU in script?: no
- Using distributed or parallel set-up in script?: no

### Who can help?

@sgugger 

### Information

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

### Tasks

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

### Reproduction

Using the library [Detoxify](https://github.com/unitaryai/detoxify) raises an error in transformers code if using transformers version >= 4.25.1, but works well with version 4.24 and below.

The error is: `TypeError: 'NoneType' object is not subscriptable` in [file `modeling_utils` at line 2718](https://github.com/huggingface/transformers/blob/820c46a707ddd033975bc3b0549eea200e64c7da/src/transformers/modeling_utils.py#L2718). This line (and its block of code) has been added with [PR#20321](https://github.com/huggingface/transformers/pull/20321) merged in version 4.25.1

https://github.com/huggingface/transformers/blob/820c46a707ddd033975bc3b0549eea200e64c7da/src/transformers/modeling_utils.py#L2718-L2736

Looking at the code, it seems to me that the variable `resolved_archive_file` can take the value `None`, hence raising this error.

The full error stacktrace is:

```
---------------------------------------------------------------------------

TypeError                                 Traceback (most recent call last)

<ipython-input-7-72e665f021e6> in <module>
----> 1 toxicity_model = Detoxify('multilingual', device='cuda')
      2 # results = toxicity_model.predict()

4 frames

/usr/local/lib/python3.8/dist-packages/detoxify/detoxify.py in __init__(self, model_type, checkpoint, device, huggingface_config_path)
    101     def __init__(self, model_type="original", checkpoint=PRETRAINED_MODEL, device="cpu", huggingface_config_path=None):
    102         super().__init__()
--> 103         self.model, self.tokenizer, self.class_names = load_checkpoint(
    104             model_type=model_type,
    105             checkpoint=checkpoint,

/usr/local/lib/python3.8/dist-packages/detoxify/detoxify.py in load_checkpoint(model_type, checkpoint, device, huggingface_config_path)
     54     }
     55     class_names = [change_names.get(cl, cl) for cl in class_names]
---> 56     model, tokenizer = get_model_and_tokenizer(
     57         **loaded["config"]["arch"]["args"],
     58         state_dict=loaded["state_dict"],

/usr/local/lib/python3.8/dist-packages/detoxify/detoxify.py in get_model_and_tokenizer(model_type, model_name, tokenizer_name, num_classes, state_dict, huggingface_config_path)
     18 ):
     19     model_class = getattr(transformers, model_name)
---> 20     model = model_class.from_pretrained(
     21         pretrained_model_name_or_path=None,
     22         config=huggingface_config_path or model_type,

/usr/local/lib/python3.8/dist-packages/transformers/modeling_utils.py in from_pretrained(cls, pretrained_model_name_or_path, *model_args, **kwargs)
   2476                 offload_index,
   2477                 error_msgs,
-> 2478             ) = cls._load_pretrained_model(
   2479                 model,
   2480                 state_dict,

/usr/local/lib/python3.8/dist-packages/transformers/modeling_utils.py in _load_pretrained_model(cls, model, state_dict, loaded_keys, resolved_archive_file, pretrained_model_name_or_path, ignore_mismatched_sizes, sharded_metadata, _fast_init, low_cpu_mem_usage, device_map, offload_folder, offload_state_dict, dtype, load_in_8bit, keep_in_fp32_modules)
   2716             return mismatched_keys
   2717 
-> 2718         folder = os.path.sep.join(resolved_archive_file[0].split(os.path.sep)[:-1])
   2719         if device_map is not None and is_safetensors:
   2720             param_device_map = expand_device_map(device_map, original_loaded_keys)

TypeError: 'NoneType' object is not subscriptable
```

PS: [link to the related issue](https://github.com/unitaryai/detoxify/issues/75) in the library Detoxify

### Expected behavior

Put a condition on `resolved_archive_file` to handle the case when its value is `None`. 
However, if its value SHOULDN'T be `None`, then add a validity check earlier in the code, with more explicit details.

Let me know if I can help on this.
I think this has been fixed by #21542. Could you try on the main branch of Transformers and see if you still have the bug?<|||||>Oh yes perfect! I'll wait for the next release to update then.
thank you<|||||>Next release should be this week or beginning of next, as an FYI :-) 