code: def __init__(self, question_encoder, generator):
      self.question_encoder = question_encoder
      self.generator = generator
      self.current_tokenizer = self.question_encoder
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/models/rag/tokenization_rag.py
imports: import os
  import warnings
  from typing import List, Optional
  from ...tokenization_utils_base import BatchEncoding
  from ...utils import logging
  from .configuration_rag import RagConfig
label_desc: Use image node_id 1 to create a new RagTokenizer object  with example: obj = RagTokenizer(question_encoder, generator)