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","."]
docstr: preparing a single input text using the tokenizer.
  Args:
      input_text (str): The input text to be encoded.
  Returns:
      decoded input text
docstr_tok: ["preparing","a","single","input","text","using","the","tokenizer",".","Args",":","input_text","(","str",")",":","The","input","text","to","be","encoded",".","Returns",":","decoded","input","text"]
code: def _prepare_input_data(self, input_text):
      """
      preparing a single input text using the tokenizer.
      Args:
          input_text (str): The input text to be encoded.
      Returns:
          decoded input text
      """
      try:
          if isinstance(input_text, (bytes, bytearray)):
              input_text = input_text.decode("utf-8")
  
          input_data = json.loads(input_text)
  
          if input_data.get("mode", "text_completion") == "chat":
              return self._prepare_dialog(input_data)
  
          input_data["encoded"] = self.tokenizer.encode(
              input_data["prompt"], bos=True, eos=False
          )
          input_data["encoded"] = torch.tensor(
              input_data["encoded"],
              dtype=torch.long,
              device=self.device,
          )
  
          return input_data
      except TypeError:
          raise ValueError(
              f"Expected input_texts to contain text (string) values: {input_text}"
          )
      except json.JSONDecodeError:
          raise ValueError(f"Invalid JSON format in text: {input_text}")
  
imports: import json
  import logging
  import os
  import sys
  import time
  from abc import ABC
  from typing import List
  import packaging.version
  import requests
  import torch
  import transformers
  from ts.torch_handler.base_handler import BaseHandler
  from generate import sample_top_p
  from llama2 import Llama
label_desc: Use image node_id 6 for calling the LlamaHandler obj's underlying member method code with example usage: obj._prepare_input_data(input_text) and returns: input_data, self