code: def remove_trainer_type(config: ModelConfigDict) -> ModelConfigDict:
      # LLM Model types support different trainer types
      if config.get("model_type", None) == "llm":
          return config
  
      if TYPE in config.get("trainer", {}):
          warnings.warn(
              "Config param `type` has been removed from the trainer. The trainer type is determined by the top level "
              " `model_type` parameter. Support for the `type` params in trainer will be removed in v0.8",
              DeprecationWarning,
          )
          del config["trainer"][TYPE]
  
      return config
  
imports: import copy
  import logging
  import warnings
  from typing import Any, Callable, Dict, List, Union
  from ludwig.api_annotations import DeveloperAPI
  from ludwig.constants import AUDIO, BIAS, CLASS_WEIGHTS, COLUMN, CONV_BIAS, CONV_USE_BIAS, DECODER, DEFAULT_BIAS, DEFAULT_USE_BIAS, DEFAULTS, ENCODER, EVAL_BATCH_SIZE, EXECUTOR, FORCE_SPLIT, HEIGHT, HYPEROPT, IMAGE, INPUT_FEATURES, LOSS, MISSING_VALUE_STRATEGY, MODEL_ECD, MODEL_GBM, MODEL_TYPE, NAME, NUM_SAMPLES, NUMBER, OUTPUT_FEATURES, PARAMETERS, PREPROCESSING, PROBABILITIES, RANDOM, RAY, SAMPLER, SCHEDULER, SEARCH_ALG, SEQUENCE, SPLIT, SPLIT_PROBABILITIES, STRATIFY, TEXT, TIMESERIES, TRAINER, TRAINING, TYPE, USE_BIAS, WIDTH
  from ludwig.features.feature_registries import get_base_type_registry, get_input_type_registry, get_output_type_registry
  from ludwig.globals import LUDWIG_VERSION
  from ludwig.schema.defaults.gbm import GBMDefaultsConfig
  from ludwig.schema.encoders.utils import get_encoder_cls
  from ludwig.types import FeatureConfigDict, FeatureTypeDefaultsDict, HyperoptConfigDict, ModelConfigDict, PreprocessingConfigDict, TrainerConfigDict, TrainingSetMetadataDict
  from ludwig.utils.metric_utils import TrainerMetric
  from ludwig.utils.misc_utils import get_from_registry, merge_dict
  from ludwig.utils.version_transformation import VersionTransformation, VersionTransformationRegistry
label_desc: Use image node_id 22 for calling a global function with example usage: remove_trainer_type(config) and returns: config, config