Running inference from ASR documentation, pipeline errors with "Can't load tokenizer"
### System Info

- `transformers` version: 4.28.1
- Platform: Windows-10-10.0.22621-SP0
- Python version: 3.11.2
- Huggingface_hub version: 0.14.1
- Safetensors version: not installed
- PyTorch version (GPU?): 2.0.1+cu117 (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?: NO
- Using distributed or parallel set-up in script?: NO


### Who can help?

@Narsil
@sgugger 

### Information

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

### Tasks

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

### Reproduction

Put together the script from [Automatic Speech Recognition](https://huggingface.co/docs/transformers/tasks/asr) into a file `main.py`, up to but not including Inference.

Run under Windows. Training succeeds.

Put together the Inference section into a file `infer.py`.

Run under Windows.

Output:

```
Downloading pytorch_model.bin: 100%|██████████████████████████████████████████████████████████████████████████████████| 378M/378M [00:35<00:00, 10.6MB/s]
Traceback (most recent call last):
  File "f:\eo-reco\infer.py", line 10, in <module>
    transcriber = pipeline("automatic-speech-recognition", model="xekri/my_awesome_asr_model")
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "f:\eo-reco\.env\Lib\site-packages\transformers\pipelines\__init__.py", line 876, in pipeline
    tokenizer = AutoTokenizer.from_pretrained(
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "f:\eo-reco\.env\Lib\site-packages\transformers\models\auto\tokenization_auto.py", line 723, in from_pretrained
    return tokenizer_class_py.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "f:\eo-reco\.env\Lib\site-packages\transformers\tokenization_utils_base.py", line 1795, in from_pretrained
    raise EnvironmentError(
OSError: Can't load tokenizer for 'xekri/my_awesome_asr_model'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'xekri/my_awesome_asr_model' is the correct path to a directory containing all relevant files for a Wav2Vec2CTCTokenizer tokenizer.
```
[main.py.zip](https://github.com/huggingface/transformers/files/11413782/main.py.zip)
[infer.py.zip](https://github.com/huggingface/transformers/files/11413784/infer.py.zip)


### Expected behavior

No error.

Your code works fine for me on macOS (I tried with the main branch of Transformers, which is version 4.29.0.dev0). It also looks like the `tokenizer_config.json` is present in your model repo, so all the required files are present.

Are you sure you don't have a `F:\eo-reco\xekri\my_awesome_asr_model` directory that would be interfering with this?
<|||||>The problem happens even if I delete the local directory.

So the problem appears to be that there is a missing step in the docs:

`processor.save_pretrained(save_directory="my_awesome_asr_mind_model")`

Without this, there is no `tokenizer_config.json`.

The reason `tokenizer_config.json` was present in my repo is that I added the line and then ran the program again.

If you look at `main.py.zip` above, you can see where I had the line commented out. With that line commented out, the error happens.<|||||>It does look like those instructions are missing from the docs, I'll ping someone from the docs team to have a look. Thanks for reporting! 
<|||||>Possibly related: #23222<|||||>Thanks for reporting this! If you pass `processor` to the Trainer, it will save both `tokenizer` and `feature_extractor`, and push them both to hub. I'll update the docs. https://github.com/huggingface/transformers/pull/23239<|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) are likely to be ignored.