The configuration is not a valid json file
### System Info

The config at this url [https://huggingface.co/openai/clip-vit-large-patch14/resolve/main/config.json](https://huggingface.co/openai/clip-vit-large-patch14/resolve/main/config.json) is not a valid JSON and produces error:
`json.decoder.JSONDecodeError: Expecting property name enclosed in double quotes: line 88 column 3 (char 2317)`


### Who can help?

@patil-suraj

### 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

```python
from transformers import CLIPTextModel
CLIPTextModel.from_pretrained("openai/clip-vit-large-patch14")
```

### Expected behavior

The config should be a valid json.
👆🏼Same error just started occuring about 30 mins ago across all machines<|||||><img width="502" alt="Screen Shot 2022-09-09 at 3 00 30 PM" src="https://user-images.githubusercontent.com/26133/189424655-2d594077-d358-41aa-a265-86571dabb522.png">
<|||||>Related to #18962 <|||||>Just in case, pinging @patil-suraj given a few commits on that model repo today =) https://huggingface.co/openai/clip-vit-large-patch14/commits/main<|||||>is there a way to disable it grabbing the newest?  I disabled my ethernet ran the app, and then turned it back on after it got past that point in the script and I'm running again if someone needs a fast temporary bandaid<|||||>Thank you for reporting, this was fixed in [openai/clip-vit-large-patch14#4](https://huggingface.co/openai/clip-vit-large-patch14/discussions/4)
Re-running the instantiation/`from_pretrained` should redownload the correct JSON file.<|||||>If you have a set of downloaded cache of the unbroken files, you can get around the problem by forcing an offline only mode and using your cache.

If you don't want to edit your script, add TRANSFORMERS_OFFLINE=1, as seen by document here https://huggingface.co/docs/transformers/installation#offline-mode
If you prefer to edit your python scripts, you can pass local_files_only when calling from_pretrained https://huggingface.co/docs/transformers/main_classes/model
<|||||>Fixed