code: def get_model_names():
      """Returns a list of strings representing the testable model names."""
      return [
          "bart",
          "albert",
          "beit",
          "bert",
          "clip",
          "deberta",
          "debertaV2",
          "distilbert",
          "encoder_decoder",
          "gpt2",
          "gptj",
          "mbart",
          "roberta",
          "t5",
          "vit",
          "xlm-r",
      ]
  
imports: import os
  import random
  from typing import Any, Union
  import numpy
  import torch
  from PIL import Image
  from torch import squeeze
  import jsonlines
  import requests
  import transformers
  from adapters import AutoAdapterModel, init
  from transformers import AlbertConfig, BartConfig, BatchEncoding, BeitConfig, BeitImageProcessor, BertConfig, CLIPProcessor, CLIPVisionConfig, CLIPVisionModelWithProjection, DebertaConfig, DebertaV2Config, DistilBertConfig, EncoderDecoderConfig, EncoderDecoderModel, GPT2Config, GPTJConfig, MBartConfig, RobertaConfig, T5Config, ViTConfig, ViTImageProcessor, XLMRobertaConfig
label_desc: Use image node_id 5 for calling a global function with example usage: get_model_names() and returns: list