docstr: Prompt token for OPT models.
docstr_tok: ["Prompt","token","for","OPT","models","."]
code: def opt_prompt(self):
      """
      Prompt token for OPT models.
      """
      return {
          "sdm": "Person 2 must decide whether to search the internet.\n\n",
          "mdm": "A conversation between two persons. Person 2 must consult their notes about Person 1.\n\n",
          "sgm": "Person 2 must write a search query for a search engine.\n\n",
          "mgm": "A conversation between two persons. Person 2 writes a note about Person 1 to help remember information for later.\n\n",
          "ckm": "A conversation between two persons. Person 2 recalls a previous topic in the conversation.\n\n",
          "skm": "A conversation between two persons. Person 2 finds an interesting fact from the internet.\n\n",
          "mkm": "A conversation between two persons. Person 2 recalls an interesting fact about Person 1 or Person 2.\n\n",
          "crm": "A conversation between two persons. Person 2 would like to continue talking about a previous topic in the conversation.\n\n",
          "mrm": "A conversation between two persons. Person 2 would like to chat about an interesting fact about Person 1 or Person 2.\n\n",
          "srm": "A conversation between two persons. Person 2 would like to tell Person 1 about something Person 2 found on the internet.\n\n",
          "vrm": "A conversation between two persons.\n\n",
          "grm": "A conversation between two persons. Person 2 responds in a given style.\n\n",
          "orm": "A conversation between two persons. Person 2 begins the conversation given information about Person 1.\n\n",
          "brm": "A conversation between two persons.\n\n",
      }[self.value]
  
imports: from enum import Enum
  from typing import Dict, List
  import projects.bb3.constants
label_desc: Use image node_id 17 for calling the Module obj's underlying member method code with example usage: obj.opt_prompt() and returns: dict