code: def __init__(self) -> None:
      self.tf_model: tf.keras.Model = None
      self.embedding: ABCEmbedding = None
      self.hyper_parameters: Dict[str, Any]
      self.sequence_length: int
      self.text_processor: ABCProcessor
      self.label_processor: ABCProcessor
  
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 1 to create a new ABCTaskModel object from inherited base classes: ABC with example: obj = ABCTaskModel()