code: def tokenizer_pieces(self):
      from transformers.convert_slow_tokenizer import import_protobuf
  
      spm_pb2 = import_protobuf("Failed to import protobuf")
  
      tokens = self.config["tokenizer.ggml.tokens"]
      token_types = self.config["tokenizer.ggml.token_type"]
      merges = None
      if "tokenizer.ggml.scores" in self.config:
          scores = self.config["tokenizer.ggml.scores"]
      elif self.config["tokenizer.ggml.model"] == "gpt2":
          merges = self.config["tokenizer.ggml.merges"]
          scores = list(range(len(tokens)))
      else:
          invalidInputError(
              False, "Invalid configuration: 'scores' is not provided."
          )
  
      pieces = [
          spm_pb2.ModelProto.SentencePiece(
              piece=token,
              score=score,
              type=token_type,
          )
          for token, score, token_type in tqdm(
              zip(tokens, scores, token_types), "Loading gguf vocab"
          )
      ]
  
      if merges is not None:
          return pieces, merges
      else:
          return pieces
  
imports: import struct
  import functools
  import torch
  import numpy
  from io import BufferedReader
  from tqdm import tqdm
  from bigdl.llm.utils.common import invalidInputError
label_desc: Use image node_id 4 for calling the GGUFFileLoader obj's underlying member method code with example usage: obj.tokenizer_pieces() and returns: pieces,  merges, pieces