code: def dispatch_quantizer(
      dense_model_name: str, quantizer_name: str, vocab_size: int
  ):
      quantizer_checkpoint_name = (
          f"{dense_model_name}-{quantizer_name}-{vocab_size}"
      )
      checkpoint_path = CHECKPOINT_MANAGER.get_by_name(
          quantizer_checkpoint_name
      )
      quantizer = QUANTIZER_MODELS[quantizer_name](checkpoint_path)
      return quantizer
  
file_path: textlesslib/textless/__init__.py
imports: from textless.data.cpc_feature_reader import CpcFeatureReader
  from textless.data.hubert_feature_reader import HubertFeatureReader
  from textless.data.kmeans_quantizer import KMeansQuantizer
  from textless.checkpoint_manager import CHECKPOINT_MANAGER
  from textless.vocoders.tacotron2.vocoder import TacotronVocoder
  from textless.vocoders.hifigan.vocoder import CodeHiFiGANVocoder
label_desc: Use image node_id 2 for calling a global function with example usage: dispatch_quantizer(dense_model_name, quantizer_name, vocab_size) and returns: quantizer