class_docstr: Construct a "fast" BlenderbotSmall tokenizer (backed by HuggingFace's *tokenizers* library).
  
  Args:
      vocab_file (`str`):
          Path to the vocabulary file.
class_docstr_tok: ["Construct","a","``","fast","''","BlenderbotSmall","tokenizer","(","backed","by","HuggingFace","'s","*","tokenizers","*","library",")",".","Args",":","vocab_file","(","`","str","`",")",":","Path","to","the","vocabulary","file","."]
docstr: Create a mask from the two sequences passed to be used in a sequence-pair classification task. BlenderbotSmall
  does not make use of token type ids, therefore a list of zeros is returned.
  
  Args:
      token_ids_0 (`List[int]`):
          List of IDs.
      token_ids_1 (`List[int]`, *optional*):
          Optional second list of IDs for sequence pairs.
  
  Returns:
      `List[int]`: List of zeros.
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code: def create_token_type_ids_from_sequences(
      self,
      token_ids_0: List[int],
      token_ids_1: Optional[List[int]] = None,
  ) -> List[int]:
      """
      Create a mask from the two sequences passed to be used in a sequence-pair classification task. BlenderbotSmall
      does not make use of token type ids, therefore a list of zeros is returned.
  
      Args:
          token_ids_0 (`List[int]`):
              List of IDs.
          token_ids_1 (`List[int]`, *optional*):
              Optional second list of IDs for sequence pairs.
  
      Returns:
          `List[int]`: List of zeros.
      """
      sep = [self.sep_token_id]
      cls = [self.cls_token_id]
  
      if token_ids_1 is None:
          return len(cls + token_ids_0 + sep) * [0]
      return len(cls + token_ids_0 + sep + sep + token_ids_1 + sep) * [
          0
      ]
  
file_path: transformers/src/transformers/models/blenderbot_small/tokenization_blenderbot_small_fast.py
imports: from typing import List, Optional
  from tokenizers import ByteLevelBPETokenizer
  from ...tokenization_utils_fast import PreTrainedTokenizerFast
  from ...utils import logging
  from .tokenization_blenderbot_small import BlenderbotSmallTokenizer
label_desc: Use image node_id 3 for calling the BlenderbotSmallTokenizerFast obj's underlying member method code with example usage: obj.create_token_type_ids_from_sequences(token_ids_0, token_ids_1) and returns: unknown, unknown