PyTorch ViTMAEModel output is not deterministic
### System Info

- `transformers` version: 4.27.4
- Platform: Linux-5.13.0-1023-gcp-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.13.3
- PyTorch version (GPU?): 2.0.0+cu117 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): 0.6.8 (tpu)
- Jax version: 0.4.8
- JaxLib version: 0.4.7
- Using GPU in script?: No.
- Using distributed or parallel set-up in script?: No

### Who can help?

@amyeroberts @sgugger @stevhliu @MKhalusova 

### Information

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

### Tasks

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

### Reproduction

Run the [example snippet](https://huggingface.co/docs/transformers/v4.27.2/en/model_doc/vit_mae#transformers.ViTMAEModel) in the documentation. I'll copy & paste it below for your convenience:

```python
from transformers import AutoImageProcessor, ViTMAEModel
from PIL import Image
import requests

url = "http://images.cocodataset.org/val2017/000000039769.jpg"
image = Image.open(requests.get(url, stream=True).raw)

image_processor = AutoImageProcessor.from_pretrained("facebook/vit-mae-base")
model = ViTMAEModel.from_pretrained("facebook/vit-mae-base")

inputs = image_processor(images=image, return_tensors="pt")
outputs = model(**inputs)
last_hidden_states = outputs.last_hidden_state
```

Put the code in a script, execute it twice, and you will notice that the content in `last_hidden_states` is different.

### Expected behavior

The embeddings should be deterministic across runs.
Hi,

Yes that's expected behaviour, see https://github.com/huggingface/transformers/issues/20431<|||||>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.