Add ONNX export support for DinoV2, Hiera, Maskformer, PVT, SigLIP, SwinV2, VitMAE, and VitMSN models

[xenova]

What does this PR do?

Fixes # (issue)

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[HuggingFaceDocBuilderDev]

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[SangbumChoi]

@xenova Hi xenova! I think you missed to add official support for maskformer

optimum/optimum/onnxruntime/modeling_ort.py

Line 1773 in de07c7a

ONNX Model for semantic-segmentation, with an all-MLP decode head on top e.g. for ADE20k, CityScapes. This class officially supports segformer.

[echarlaix]

Apologies for the delay @xenova !! Looks so good, thanks for adding so many new models ❤️

[echarlaix]

I think "image-feature-extraction" (or "feature-extraction") should be enough https://huggingface.co/datasets/huggingface/transformers-metadata/blob/main/pipeline_tags.json#L1128

Suggested change

	"feature-extraction",
	"masked-im",
	"feature-extraction",

if not the correct class needed to load the model can be added to _CUSTOM_CLASSES : for vit-mae I only see AutoModel or AutoModelForPreTraining

[echarlaix]

removed in 7a2e94a

[echarlaix]

same I think can be removed :

Suggested change

"masked-im",

[echarlaix]

removed in 01929b2

[echarlaix]

Also seems there is an issue for Maskformer for the feature-extraction task

FAILED exporters/onnx/test_exporters_onnx_cli.py::OnnxCLIExportTestCase::test_exporters_cli_pytorch_cpu_357_maskformer_feature_extraction_default_hf_internal_testing_tiny_random_MaskFormerForInstanceSegmentation - RuntimeError: number of output names provided (1) exceeded number of outputs (0)

the expected output name seems to be "transformer_decoder_last_hidden_state" https://github.com/huggingface/transformers/blob/69e31eb1bf123d5bd0183b753da83ab7dd9c2eec/src/transformers/models/maskformer/modeling_maskformer.py#L1615 while feature-extraction gives "last_hidden_state", can be fixed by updating MaskFormerOnnxConfig

edit : should be fixed with 3fa346c

[xenova]

Thanks so much @echarlaix! 🚀