It seem do not support convert multilabel classification model  to onnx  ?
I have fine tune my multilabel classification model(pytorch)，and try to use the `from transformers.convert_graph_to_onnx import convert` to convert the pytorch model to onnx model. As the `pipeline_name` is pre-defined, and it seems not  be suited to multilabel classification， therefor I try use `pipeline_name="sentiment-analysis"`, however when reload the onnx model, its prediction result seems wrong. Could you tell how should i do to get the right result？ Thanks a lot!

Hi @MrRace, 

thanks for reporting the issue. 

What model are you using as multilabels classification support?<|||||>> Hi @MrRace,
> 
> thanks for reporting the issue.
> 
> What model are you using as multilabels classification support?

Thanks for your reply. I use BERT to do multilabels classification. And want to export the fine tuned model to onnx. <|||||>Looking at it!<|||||>> Looking at it!

Looking forward to your reply!<|||||>Hi @mfuntowicz  Is there any suggestion for it?

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