code: def load_verbalizer(
      config: CfgNode,
      **kwargs,
  ):
      r"""
      Args:
          config: (;obj:`CfgNode`) The global configure file.
          kwargs: kwargs might include:
                  plm_model: Optional[PreTrainedModel],
                  plm_tokenizer: Optional[PreTrainedTokenizer],
                  plm_config: Optional[PreTrainedConfig]
  
      Returns:
          A template
      """
      if config.verbalizer is not None:
          verbalizer_class = VERBALIZER_CLASS[config.verbalizer]
          verbalizer = verbalizer_class.from_config(
              config=config[config.verbalizer], **kwargs
          )
      return verbalizer
  
imports: from yacs.config import CfgNode
  from openprompt.utils.utils import signature
  from typing import Optional
  from transformers.tokenization_utils import PreTrainedTokenizer
  from transformers.utils.dummy_pt_objects import PreTrainedModel
  from .manual_template import ManualTemplate
  from .manual_verbalizer import ManualVerbalizer
  from .mixed_template import MixedTemplate
  from .one2one_verbalizer import One2oneVerbalizer
  from .automatic_verbalizer import AutomaticVerbalizer
  from .prefix_tuning_template import PrefixTuningTemplate
  from .knowledgeable_verbalizer import KnowledgeableVerbalizer
  from .ptuning_prompts import PtuningTemplate
  from .ptr_prompts import PTRTemplate, PTRVerbalizer
  from .knowledgeable_verbalizer import KnowledgeableVerbalizer
  from .prefix_tuning_template import PrefixTuningTemplate
  from .soft_template import SoftTemplate
  from .prompt_generator import T5TemplateGenerator, TemplateGenerator, VerbalizerGenerator, RobertaVerbalizerGenerator
  from .generation_verbalizer import GenerationVerbalizer
  from .soft_verbalizer import SoftVerbalizer
  from .prototypical_verbalizer import ProtoVerbalizer
label_desc: Use image node_id 2 for calling a global function with example usage: load_verbalizer(config) and returns: verbalizer