class_docstr: Transformers handler class for text completion streaming on Inferentia2
class_docstr_tok: ["Transformers","handler","class","for","text","completion","streaming","on","Inferentia2"]
code: def postprocess(self, inference_output):
      return inference_output
  
imports: import logging
  import os
  from abc import ABC
  from threading import Thread
  import torch_neuronx
  from transformers import AutoConfig, LlamaTokenizer
  from transformers_neuronx.generation_utils import HuggingFaceGenerationModelAdapter
  from transformers_neuronx.llama.model import LlamaForSampling
  from ts.handler_utils.hf_batch_streamer import TextIteratorStreamerBatch
  from ts.handler_utils.micro_batching import MicroBatching
  from ts.protocol.otf_message_handler import send_intermediate_predict_response
  from ts.torch_handler.base_handler import BaseHandler
label_desc: Use image node_id 5 for calling the LLMHandler obj's underlying member method code with example usage: obj.postprocess(inference_output) and returns: inference_output