code: def data_gen_for_qa():
      question, text = (
          "Who was Jim Henson?",
          "Jim Henson was a nice puppet",
      )
      tokenizer = transformers.BertTokenizer.from_pretrained(
          "bert-base-uncased"
      )
      inputs = tokenizer(question, text, return_tensors="pt")
      return inputs
  
imports: import torch
  import transformers
  from ..registry import ModelAttribute, model_zoo
label_desc: Use image node_id 3 for calling a global function with example usage: data_gen_for_qa() and returns: inputs