code: def to_dict(self) -> Dict[str, Any]:
      model_json_str = self.tf_model.to_json()
  
      return {
          "tf_version": tf.__version__,  # type: ignore
          "kashgari_version": kashgari.__version__,
          "__class_name__": self.__class__.__name__,
          "__module__": self.__class__.__module__,
          "config": {
              "hyper_parameters": self.hyper_parameters,  # type: ignore
              "sequence_length": self.sequence_length,  # type: ignore
          },
          "embedding": self.embedding.to_dict(),  # type: ignore
          "text_processor": self.text_processor.to_dict(),
          "label_processor": self.label_processor.to_dict(),
          "tf_model": json.loads(model_json_str),
      }
  
file_path: Kashgari/kashgari/tasks/abs_task_model.py
imports: import json
  import os
  import pathlib
  from abc import ABC, abstractmethod
  from typing import TYPE_CHECKING, Any, Dict, Union
  import tensorflow
  import kashgari
  from kashgari.embeddings import ABCEmbedding
  from kashgari.layers import KConditionalRandomField
  from kashgari.logger import logger
  from kashgari.processors.abc_processor import ABCProcessor
  from kashgari.utils import load_data_object
label_desc: Use image node_id 2 for calling the ABCTaskModel obj's underlying member method code with example usage: obj.to_dict() and returns: dict