Unexpected input type after export
Hello,I exported this model:  /bert-large-cased-finetuned-conll03-englishto onnx using this code:import torchfrom transformers import AutoModelForTokenClassification, AutoTokenizer#loadmodel/tokenizermodel_id = “dbmdz/bert-large-cased-finetuned-conll03-english”model = AutoModelForTokenClassification.from_pretrained(model_id)tokenizer = AutoTokenizer.from_pretrained(model_id)dummy_model_input = tokenizer(“JJ and his friends are going to the Park later.”, return_tensors=“pt”)#Exportto onnxtorch.onnx.export(model,tuple(dummy_model_input.values()),f= “dbmdz/bert_large_cased_finetuned_conll03_english_onnx/”,input_names=[‘input_ids’, ‘attention_mask’],output_names=[‘logits’],dynamic_axes={‘input_ids’ : {0: ‘batch_size’, 1: ‘sequence’},‘attention_mask’: {0: ‘batch_size’, 1: ‘sequence’},‘logits’: {0: ‘batch_size’, 1: ‘sequence’}},do_constant_folding= True,opset_version= 13,)After export My .onnx model has ‘input_ids’, ‘attention_mask’, and ‘input.3’ inputs, and i am unsure how or why i got the input.3 input.