code: def __init__(
      self,
      tokenizer,
      classes: Optional[List] = None,
      num_classes: Optional[Sequence[str]] = None,
      label_words: Optional[
          Union[Sequence[str], Mapping[str, str]]
      ] = None,
      prefix: Optional[str] = " ",
      multi_token_handler: Optional[str] = "first",
      post_log_softmax: Optional[bool] = True,
  ):
      super().__init__(
          tokenizer=tokenizer, num_classes=num_classes, classes=classes
      )
      self.prefix = prefix
      self.multi_token_handler = multi_token_handler
      self.label_words = label_words
      self.post_log_softmax = post_log_softmax
  
imports: import paddle
  from abc import abstractmethod
  from typing import *
  import numpy
  import paddle.nn.functional
label_desc: Use image node_id 1 to create a new ErnieManualVerbalizer object from inherited base classes: Verbalizer with example: obj = ErnieManualVerbalizer(tokenizer, classes, num_classes, label_words, prefix, multi_token_handler, post_log_softmax)