code: def get_all_auto_configured_models() -> List[str]:
      """Return the list of all models in at least one auto class."""
      result = (
          set()
      )  # To avoid duplicates we concatenate all model classes in a set.
      if is_torch_available():
          for attr_name in dir(transformers.models.auto.modeling_auto):
              if attr_name.startswith("MODEL_") and attr_name.endswith(
                  "MAPPING_NAMES"
              ):
                  result = result | set(
                      get_values(
                          getattr(
                              transformers.models.auto.modeling_auto,
                              attr_name,
                          )
                      )
                  )
      if is_tf_available():
          for attr_name in dir(
              transformers.models.auto.modeling_tf_auto
          ):
              if attr_name.startswith(
                  "TF_MODEL_"
              ) and attr_name.endswith("MAPPING_NAMES"):
                  result = result | set(
                      get_values(
                          getattr(
                              transformers.models.auto.modeling_tf_auto,
                              attr_name,
                          )
                      )
                  )
      if is_flax_available():
          for attr_name in dir(
              transformers.models.auto.modeling_flax_auto
          ):
              if attr_name.startswith(
                  "FLAX_MODEL_"
              ) and attr_name.endswith("MAPPING_NAMES"):
                  result = result | set(
                      get_values(
                          getattr(
                              transformers.models.auto.modeling_flax_auto,
                              attr_name,
                          )
                      )
                  )
      return list(result)
  
imports: import inspect
  import os
  import re
  import sys
  import types
  import warnings
  from collections import OrderedDict
  from difflib import get_close_matches
  from pathlib import Path
  from typing import List, Tuple
  from transformers import is_flax_available, is_tf_available, is_torch_available
  from transformers.models.auto import get_values
  from transformers.models.auto.configuration_auto import CONFIG_MAPPING_NAMES
  from transformers.models.auto.feature_extraction_auto import FEATURE_EXTRACTOR_MAPPING_NAMES
  from transformers.models.auto.image_processing_auto import IMAGE_PROCESSOR_MAPPING_NAMES
  from transformers.models.auto.processing_auto import PROCESSOR_MAPPING_NAMES
  from transformers.models.auto.tokenization_auto import TOKENIZER_MAPPING_NAMES
  from transformers.utils import ENV_VARS_TRUE_VALUES, direct_transformers_import
label_desc: Use image node_id 13 for calling a global function with example usage: get_all_auto_configured_models() and returns: list