Different results from HF and ONNX
Hi there!Converting a model to ONNX usingpython -m transformers.onnx --model=dslim/bert-large-NER onnxand loading the model up in Java using the onnxruntime library gives off different results compared to when run using HF.I’ve found this issue[Bug] Attention and QAttention don't work properly in some cases · Issue #14363 · microsoft/onnxruntime · GitHuband just wanted to check whether there’s a solution to this that I could use.Thanks!