fix: data2vec-vision Onnx ready-made configuration.
# What does this PR do?

This PR adds the missing config for the ONNX data2vec  config for images. It is stated in the [docs](https://huggingface.co/docs/transformers/serialization) that there is a default config for the facebook/data2vec-vision-base but this is currently not working and gives 

```
...
 File "/transformers/src/transformers/onnx/features.py", line 486, in get_supported_features_for_model_type
    raise KeyError(
KeyError: "data2vec-vision is not supported yet. Only ['albert', 'bart', 'beit', 'bert', 'big-bird', 'bigbird-pegasus', 'blenderbot', 'blenderbot-small', 'bloom', 'camembert', 'codegen', 'convbert', 'convnext', 'data2vec-text', 'deberta', 'deberta-v2', 'deit', 'detr', 'distilbert', 'electra', 'flaubert', 'gpt2', 'gptj', 'gpt-neo', 'ibert', 'layoutlm', 'layoutlmv3', 'levit', 'longt5', 'marian', 'mbart', 'mobilebert', 'mobilevit', 'm2m-100', 'perceiver', 'resnet', 'roberta', 'roformer', 'squeezebert', 't5', 'vit', 'xlm', 'xlm-roberta', 'yolos'] are supported. If you want to support data2vec-vision please propose a PR or open up an issue."
```

to recreate using docker: 

```bash
docker run -it huggingface/transformers-all-latest-gpu /bin/bash
```

```python
python3 -m transformers.onnx --model=facebook/data2vec-vision-base  onnx/
```

Should I create an issue for this and link to it?

Thanks for the help!

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Fixes # (issue)


## Before submitting
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Models:

- albert, bert, xlm: @LysandreJik
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- longformer, reformer, transfoxl, xlnet: @patrickvonplaten
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Library:

- benchmarks: @patrickvonplaten
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- tokenizers: @n1t0, @LysandreJik
- trainer: @sgugger
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Documentation: @sgugger

HF projects:

- datasets: [different repo](https://github.com/huggingface/datasets)
- rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)

Examples:

- maintained examples (not research project or legacy): @sgugger, @patil-suraj
- research_projects/bert-loses-patience: @JetRunner
- research_projects/distillation: @VictorSanh

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_The documentation is not available anymore as the PR was closed or merged._<|||||>@lewtun @LysandreJik  maybe you could take a look or point me to the correct person. Thanks!<|||||>cc @michaelbenayoun @JingyaHuang as Lewis is off for a few weeks :)<|||||>What is the best practice in this case for the test that failed? As far as I an see it is not related to the changes? How do I rerun it? @JingyaHuang thanks!<|||||>> What is the best practice in this case for the test that failed? As far as I an see it is not related to the changes? How do I rerun it? @JingyaHuang thanks!

Can you rebase your branch with the main branch of transformers and re-launch the failed test?<|||||>LGTM!
Have you ran this command?
```
RUN_SLOW=1 pytest tests/onnx/test_onnx_v2.py 
```
I was able to export the model on your branch, with your command, but I want to make sure all the tests pass before merging.<|||||>> LGTM! Have you ran this command?
> 
> ```
> RUN_SLOW=1 pytest tests/onnx/test_onnx_v2.py 
> ```
> 
> I was able to export the model on your branch, with your command, but I want to make sure all the tests pass before merging.

I missed this but will run this tomorrow and fix it if it needs to!