code: def classifier_export(obj):
      with tempfile.TemporaryDirectory() as tmpdir:
          filename = os.path.join(
              tmpdir, obj.__class__.__name__ + ".onnx"
          )
          obj = obj.cuda()
          obj.export(output=filename)
  
imports: import os
  import tempfile
  import onnx
  import pytest
  import pytorch_lightning
  import torch
  import wget
  from omegaconf import DictConfig, OmegaConf
  from nemo.collections import nlp
  from nemo.collections.nlp.models import IntentSlotClassificationModel
  from nemo.collections.nlp.modules.common import SequenceClassifier, SequenceRegression, SequenceTokenClassifier, TokenClassifier
label_desc: Use image node_id 1 for calling a global function with example usage: classifier_export(obj) without return types