class_docstr: The Mixed Template class defined by a string of `text`. See more examples in the `tutorial <https://github.com/thunlp/OpenPrompt/blob/ca27491101df0108a8dd753e5b1e79bf591f65d3/tutorial/1.1_mixed_template.py>`_.
  
  Args:
      model (:obj:`PreTrainedModel`): The pre-trained language model for the current prompt-learning task.
      tokenizer (:obj:`PreTrainedTokenizer`): A tokenizer to appoint the vocabulary and the tokenization strategy.
      text (:obj:`Optional[List[str]]`, optional): manual template format. Defaults to None.
class_docstr_tok: ["The","Mixed","Template","class","defined","by","a","string","of","`","text","`",".","See","more","examples","in","the","`","tutorial","<","https",":","\/\/github.com\/thunlp\/OpenPrompt\/blob\/ca27491101df0108a8dd753e5b1e79bf591f65d3\/tutorial\/1.1_mixed_template.py",">","`","_",".","Args",":","model","(",":","obj",":","`","PreTrainedModel","`",")",":","The","pre-trained","language","model","for","the","current","prompt-learning","task",".","tokenizer","(",":","obj",":","`","PreTrainedTokenizer","`",")",":","A","tokenizer","to","appoint","the","vocabulary","and","the","tokenization","strategy",".","text","(",":","obj",":","`","Optional","[","List","[","str","]","]","`",",","optional",")",":","manual","template","format",".","Defaults","to","None","."]
code: def get_default_soft_token_ids(self) -> List[int]:
      return self.soft_token_ids
  
file_path: OpenPrompt/openprompt/prompts/mixed_template.py
imports: import os
  import string
  from openprompt.utils.logging import logger
  from openprompt.data_utils.utils import InputExample, InputFeatures
  from typing import *
  from transformers import PreTrainedModel
  from transformers.tokenization_utils import PreTrainedTokenizer
  from openprompt import Template
  import torch
  from torch import nn
  from sys import exit
label_desc: Use image node_id 2 for calling the MixedTemplate obj's underlying member method code with example usage: obj.get_default_soft_token_ids() and returns: self