code: def test_ort_callback_fails_no_model(self, tmpdir):
      dataset = StaticDataset(self.example_train_sample, 4)
  
      model = BoringModel()
  
      trainer = flash.Trainer(
          default_root_dir=tmpdir,
          fast_dev_run=True,
          callbacks=ORTCallback(),
      )
  
      with pytest.raises(
          ValueError, match="Torch ORT requires to wrap a single model"
      ):
          trainer.fit(
              model, model.process_train_dataset(dataset, batch_size=4)
          )
  
imports: from typing import Any
  from unittest.mock import patch
  import flash
  import pytest
  import torch
  from flash.core.data.io.input import DataKeys
  from flash.core.utilities.imports import _TOPIC_SERVE_AVAILABLE, _TOPIC_TEXT_AVAILABLE, _TORCH_ORT_AVAILABLE
  from flash.text import TextClassifier
  from flash.text.ort_callback import ORTCallback
  from torch import Tensor
  from tests.helpers.boring_model import BoringModel
  from tests.helpers.task_tester import StaticDataset, TaskTester
label_desc: Use image node_id 6 for calling the TestTextClassifier obj's underlying member method code with example usage: obj.test_ort_callback_fails_no_model(tmpdir) without return types