Transformers from GCS (or custom filesystem).
### Feature request

Hi! I'm wondering if there will be support for a custom filesystem argument to "from_pretrained" for transformers, just like there is for datasets (https://huggingface.co/docs/datasets/filesystems).

### Motivation

This ideally would be great for running models in the cloud in "diskless" mode where there is no access to a real filesystem and model assets could be read into RAM via the same filesystem API that is used for datasets.

This would solve the issue of decoupling a binary from its data dependencies, in the same way it's done for datasets.

Thank you!

### Your contribution

Would love to help here, but presumably a HF expert would be much more suited to solve this problem. Happy to be eyes and a tester!
Hi there! We don't plan on adding support for something else than the Hub/local disk for pretrained model in Transformers.<|||||>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.