`from_pretrained` broken 4.26.1
### System Info

- `transformers` version: 4.26.1
- Platform: Linux-5.15.0-53-generic-x86_64-with-glibc2.10
- Python version: 3.8.13
- Huggingface_hub version: 0.12.1
- PyTorch version (GPU?): 1.13.0a0+d0d6b1f (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
- Using distributed or parallel set-up in script?: no

### Who can help?

@amyeroberts
@ArthurZucker and @younesbelkada


### Information

- [ ] 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

code block
```
from transformers import CLIPTokenizer, CLIPTextModel
import torch

tokenizer=CLIPTokenizer.from_pretrained("runwayml/stable-diffusion-v1-5"),
text_encoder=CLIPTextModel.from_pretrained("runwayml/stable-diffusion-v1-5").to("cuda")
```
output
```
Traceback (most recent call last):
  File "diffusers-oneflow/examples/poc.py", line 17, in <module>
    tokenizer=CLIPTokenizer.from_pretrained("runwayml/stable-diffusion-v1-5"),
  File "/opt/conda/lib/python3.8/site-packages/transformers/tokenization_utils_base.py", line 1788, in from_pretrained
    raise EnvironmentError(
OSError: Can't load tokenizer for 'runwayml/stable-diffusion-v1-5'. 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 'runwayml/stable-diffusion-v1-5' is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer.
```





### Expected behavior

Expect to be able to consume and not throw
Hey! If you go to `hf.co/runwayml/stable-diffusion-v1-5` you will se that there are no `tokenizer.json` or any files related to tokenization. However there is a `tokenizer` folder. The new version of transformers supports `subfolder`. 
The model on the hub was modified, thus the command that you are looking for is probably: 
```python 
>>> from transformers import AutoTokenizer
>>> AutoTokenizer.from_pretrained("runwayml/stable-diffusion-v1-5",subfolder= "tokenizer")
```
which worked for me 😉 <|||||>oh yes this is great thank you