class_docstr: Transformers handler class for sequence, token classification and question answering.
class_docstr_tok: ["Transformers","handler","class","for","sequence",",","token","classification","and","question","answering","."]
code: def __init__(self):
      super(TransformersSeqClassifierHandler, self).__init__()
      self.initialized = False
  
file_path: serve/examples/large_models/Huggingface_accelerate/custom_handler.py
imports: import json
  import logging
  import os
  import zipfile
  from abc import ABC
  import torch
  import transformers
  from transformers import BloomForCausalLM, BloomTokenizerFast
  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()