snapshot_download() got an unexpected keyword argument 'allow_regex'
## Environment info
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- `transformers` version: 4.16.0
- Platform: Linux-3.10.0-1160.24.1.el7.ug.x86_64-x86_64-with-glibc2.2.5
- Python version: 3.8.6
- PyTorch version (GPU?): 1.10.1+cu102 (False)
- Tensorflow version (GPU?): 2.7.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: not installed
- Using GPU in script?: not yet (testing)
- Using distributed or parallel set-up in script?: no (but on HPC)
### Who can help
@patrickvonplaten (loading ASR model with kenlm and pyctcdecode)
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Models:

- ALBERT, BERT, XLM, DeBERTa, DeBERTa-v2, ELECTRA, MobileBert, SqueezeBert: @LysandreJik
- T5, BART, Marian, Pegasus, EncoderDecoder: @patrickvonplaten
- Blenderbot, MBART: @patil-suraj
- Longformer, Reformer, TransfoXL, XLNet, FNet, BigBird: @patrickvonplaten
- FSMT: @stas00
- Funnel: @sgugger
- GPT-2, GPT: @patrickvonplaten, @LysandreJik
- RAG, DPR: @patrickvonplaten, @lhoestq
- TensorFlow: @Rocketknight1
- JAX/Flax: @patil-suraj
- TAPAS, LayoutLM, LayoutLMv2, LUKE, ViT, BEiT, DEiT, DETR, CANINE: @NielsRogge
- GPT-Neo, GPT-J, CLIP: @patil-suraj
- Wav2Vec2, HuBERT, SpeechEncoderDecoder, UniSpeech, UniSpeechSAT, SEW, SEW-D, Speech2Text: @patrickvonplaten, @anton-l

If the model isn't in the list, ping @LysandreJik who will redirect you to the correct contributor.

Library:

- Benchmarks: @patrickvonplaten
- Deepspeed: @stas00
- Ray/raytune: @richardliaw, @amogkam
- Text generation: @patrickvonplaten @narsil
- Tokenizers: @SaulLu
- Trainer: @sgugger
- Pipelines: @Narsil
- Speech: @patrickvonplaten, @anton-l
- Vision: @NielsRogge, @sgugger

Documentation: @sgugger

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## Information

Model I am using (Bert, XLNet ...): 

```
>>> processor = AutoProcessor.from_pretrained("flozi00/wav2vec2-large-xlsr-53-german-with-lm")    
Traceback (most recent call last):    
  File "<stdin>", line 1, in <module>    
  File "/kyukon/scratch/gent/427/vsc42730/hftransformers/transformers_env/lib/python3.8/site-packages/transformers/models/auto/processing_auto.py", line 161, in from_pretrained
    return processor_class.from_pretrained(pretrained_model_name_or_path, **kwargs)
  File "/kyukon/scratch/gent/427/vsc42730/hftransformers/transformers_env/lib/python3.8/site-packages/transformers/models/wav2vec2_with_lm/processing_wav2vec2_with_lm.py", line 174, in from_pretrained
    decoder = BeamSearchDecoderCTC.load_from_hf_hub(
  File "/kyukon/scratch/gent/427/vsc42730/hftransformers/transformers_env/lib/python3.8/site-packages/pyctcdecode/decoder.py", line 757, in load_from_hf_hub
    cached_directory = snapshot_download(model_id, cache_dir=cache_dir, **kwargs)
TypeError: snapshot_download() got an unexpected keyword argument 'allow_regex'
```

The problem arises when using:
* [x] the official example scripts: (give details below)
* [ ] my own modified scripts: (give details below)

```
from transformers import AutoModelForCTC, AutoProcessor
model = AutoModelForCTC.from_pretrained(model_id)
processor = AutoProcessor.from_pretrained(model_id)
```

## To reproduce

Steps to reproduce the behavior:

1. pip install transformers
2. pip install pyctcdecode
3.  pip install https://github.com/kpu/kenlm/archive/master.zip

Possibly related to recent bugfix https://github.com/huggingface/transformers/pull/14881#discussion_r773823212

Similar result with
```
processor = Wav2Vec2ProcessorWithLM.from_pretrained
```
May also result in the following error when trying Wav2Vec2CTCTokenizer as intermediate step
```
TypeError: from_pretrained() takes 2 positional arguments but 3 were given
```
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## Expected behavior

load processor

The current behaviour seems inherited from 
```
from pyctcdecode import BeamSearchDecoderCTC
```
and in accordance with https://github.com/huggingface/transformers/blob/master/src/transformers/models/wav2vec2_with_lm/processing_wav2vec2_with_lm.py



I hope this is the right place to ask after the integration, thanks in advance and keep up the good work
<!-- A clear and concise description of what you would expect to happen. -->

Hey @gnmarten,

Could you copy-paste this command and state your` output here: 
```bash
python -c "import huggingface_hub; print(huggingface_hub.__version__)"
```

If your version is lower than 0.4.0 it would be nice if you could upgrade `huggingface_hub`<|||||>yes, it was <0.4.0, and after upgrade the download works (with remark "Loading the LM will be faster if you build a binary file.")


Thanks a lot for the fast reaction<|||||>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/master/CONTRIBUTING.md) are likely to be ignored.<|||||>Hi everyone,
   My huggingface_hub is 0.11.1, and the error 
```
   TypeError: snapshot_download() got an unexpected keyword argument 'local_dir_use_symlinks'
   snapshot_download() got an unexpected keyword argument 'local_dir_use_symlinks'
   snapshot_download() got an unexpected keyword argument 'local_dir'
```
which version should I update to?<|||||>Could you upgrade `huggingface_hub` to the newest version? 