class_docstr: Transformers handler class for sequence, token classification and question answering.
code: def __init__(self):
      super(TransformersSeqClassifierHandler, self).__init__()
      self.initialized = False
  
imports: import ast
  import json
  import logging
  import os
  from abc import ABC
  import torch
  import transformers
  from captum.attr import LayerIntegratedGradients
  from transformers import AutoModelForCausalLM, AutoModelForQuestionAnswering, AutoModelForSequenceClassification, AutoModelForTokenClassification, AutoTokenizer, GPT2TokenizerFast
  from ts.torch_handler.base_handler import BaseHandler
label_desc: Use image node_id 1 to create a new TransformersSeqClassifierHandler object from inherited base classes: BaseHandler, ABC with example: obj = TransformersSeqClassifierHandler()