code: def save_to_jsonl(
      model_output: list, adapter_config: str, file_path: str
  ):
      """Save model output to a JSON Lines (.jsonl) file as a dictionary. Each line represents one model, where the key is the model name (specified by adapter_config)
      and the value is the model output stored as a list of lists. If an output for a model already exists, it is overwritten.
      Args:
          model_output (list): The model's output as a list.
          adapter_config (str): The model name, serving as the key for the dictionary.
          file_path (str): The path of the file to save the new entry.
      """
      # Check if the file exists
      if os.path.exists(file_path):
          # Load content from .jsonl file
          with jsonlines.open(file_path, mode="r") as f:
              data = [line for line in f]
      # Create empty list if file doesn't exist
      else:
          data = []
  
      # Update result with new one if unique_id already exists in the file
      for i, line in enumerate(data):
          if adapter_config in line:
              data[i] = {adapter_config: model_output}
              break
      # Add new result to the list if unique_id doesn't exist in the file
      else:
          data.append({adapter_config: model_output})
      with jsonlines.open(file_path, mode="w") as writer:
          writer.write_all(data)
  
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 11 for calling a global function with example usage: save_to_jsonl(model_output, adapter_config, file_path) without return types