code: def test_convert_to_auto_class():
      from bentoml._internal.frameworks.transformers import (
          convert_to_autoclass,
      )
  
      with pytest.raises(
          BentoMLException,
          match="Given not_a_class is not a valid Transformers *",
      ):
          convert_to_autoclass("not_a_class")
  
      assert (
          convert_to_autoclass("AutoModelForSequenceClassification")
          is AutoModelForSequenceClassification
      )
      assert (
          convert_to_autoclass("AutoModelForCausalLM")
          is AutoModelForCausalLM
      )
  
imports: from __future__ import annotations
  import logging
  import os
  import typing
  import pytest
  import transformers
  from transformers.models.auto.modeling_auto import AutoModelForAudioClassification
  from transformers.models.auto.modeling_auto import AutoModelForCausalLM
  from transformers.models.auto.modeling_auto import AutoModelForSequenceClassification
  from transformers.pipelines import check_task
  from transformers.pipelines import pipeline
  from transformers.pipelines.audio_classification import AudioClassificationPipeline
  from transformers.trainer_utils import set_seed
  import bentoml
  from bentoml.exceptions import BentoMLException
  from bentoml.transformers import ModelOptions
label_desc: Use image node_id 2 for calling a global function with example usage: test_convert_to_auto_class() without return types