VisionEncoderDecoderModel ONNX Conversion - Swinv2-Xlm-roberta-base

[Billybeast2003]

System Info

I am using Google Colab

transformers version: 4.47.1

• Platform: Linux-6.1.85+-x86_64-with-glibc2.35
• Python version: 3.10.12
• Huggingface_hub version: 0.27.0
• Safetensors version: 0.4.5
• Accelerate version: 1.2.1
• Accelerate config: not found
• PyTorch version (GPU?): 2.5.1+cu121 (False)
• Tensorflow version (GPU?): 2.17.1 (False)
• Flax version (CPU?/GPU?/TPU?): 0.8.5 (cpu)
• Jax version: 0.4.33
• JaxLib version: 0.4.33

Who can help?

@sgugger

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)

I want to convert my VisionEncoderDecoderModel to onnx which include swinv2 as the encoder and xlm-roberta-base as the decoder.

the command I used:
!optimum-cli export onnx --model /content/swin-xlm-image-recognition --task vision2seq-lm /content/swin-xlm-image-recognition-onnx --atol 1e-3
Error that I still got:
KeyError: "swinv2 is not supported yet for transformers. Only ['audio-spectrogram-transformer', 'albert', 'bart', 'beit', 'bert', 'blenderbot', 'blenderbot-small', 'bloom', 'camembert', 'clip', 'clip-vision-model', 'codegen', 'convbert', 'convnext', 'convnextv2', 'cvt', 'data2vec-text', 'data2vec-vision', 'data2vec-audio', 'deberta', 'deberta-v2', 'deit', 'detr', 'distilbert', 'donut', 'donut-swin', 'dpt', 'electra', 'encoder-decoder', 'esm', 'falcon', 'flaubert', 'gemma', 'glpn', 'gpt2', 'gpt-bigcode', 'gptj', 'gpt-neo', 'gpt-neox', 'groupvit', 'hubert', 'ibert', 'imagegpt', 'layoutlm', 'layoutlmv3', 'lilt', 'levit', 'longt5', 'marian', 'markuplm', 'mbart', 'mistral', 'mobilebert', 'mobilevit', 'mobilenet-v1', 'mobilenet-v2', 'mpnet', 'mpt', 'mt5', 'musicgen', 'm2m-100', 'nystromformer', 'owlv2', 'owlvit', 'opt', 'qwen2', 'llama', 'pegasus', 'perceiver', 'phi', 'phi3', 'pix2struct', 'poolformer', 'regnet', 'resnet', 'roberta', 'roformer', 'sam', 'segformer', 'sew', 'sew-d', 'speech-to-text', 'speecht5', 'splinter', 'squeezebert', 'swin', 'swin2sr', 't5', 'table-transformer', 'trocr', 'unispeech', 'unispeech-sat', 'vision-encoder-decoder', 'vit', 'vits', 'wavlm', 'wav2vec2', 'wav2vec2-conformer', 'whisper', 'xlm', 'xlm-roberta', 'yolos'] are supported for the library transformers. If you want to support swinv2 please propose a PR or open up an issue.

Is there any way to convert the model to onnx?