code: def initialize_transformer(self, cache_dir):
      (
          self.config,
          self.tokenizer,
          self.model,
      ) = _initialize_transformer_components(
          self.transformer_model,
          self.num_classes,
          cache_dir,
      )
  
imports: import datetime
  import logging
  import tempfile
  import warnings
  import numpy
  from functools import partial
  from small_text.classifiers.classification import EmbeddingMixin
  from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
  from small_text.utils.classification import get_splits
  from small_text.utils.context import build_pbar_context
  from small_text.utils.data import check_training_data, list_length
  from small_text.utils.datetime import format_timedelta
  from small_text.utils.annotations import early_stopping_deprecation_warning, model_selection_deprecation_warning
  from small_text.utils.labels import get_num_labels
  from small_text.utils.logging import verbosity_logger, VERBOSITY_MORE_VERBOSE
  from small_text.utils.system import get_tmp_dir_base
label_desc: Use image node_id 4 for calling the TransformerBasedClassification obj's underlying member method code with example usage: obj.initialize_transformer(cache_dir) without return types