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(LLMHandler, self).__init__()
      self.initialized = False
  
file_path: serve/examples/large_models/inferentia2/opt/inf2_handler.py
imports: import logging
  import os
  from abc import ABC
  import torch
  import torch_neuronx
  import transformers
  from transformers import AutoTokenizer
  from transformers_neuronx.opt.model import OPTForSampling
  from ts.torch_handler.base_handler import BaseHandler
label_desc: Use image node_id 1 to create a new LLMHandler object from inherited base classes: BaseHandler, ABC with example: obj = LLMHandler()