class_docstr: Wrapper for Word2Vec embeddings. Note: For models
  provided by fastText, use class ``FastTextEmbeddings``.
class_docstr_tok: ["Wrapper","for","Word2Vec","embeddings",".","Note",":","For","models","provided","by","fastText",",","use","class","``","FastTextEmbeddings","``","."]
docstr: Create filepath where .zip file will be saved.
code: def _build_zip_filepath(self) -> str:
      """Create filepath where .zip file will be saved."""
      url_frag = MAP_NLPL_LANG_TO_URL[self.iso_code].split(".")[
          -2
      ]  # type: str
      nlpl_id = int(url_frag.split("/")[-1])  # str
      fp_zip = os.path.join(
          CLTK_DATA_DIR,
          f"{self.iso_code}/embeddings/nlpl/{nlpl_id}.zip",
      )  # type: str
      return fp_zip
  
imports: import os
  from typing import List
  from zipfile import ZipFile
  from gensim import models
  from cltk.core.cltk_logger import logger
  from cltk.core.exceptions import CLTKException, UnimplementedAlgorithmError
  from cltk.data.fetch import FetchCorpus
  from cltk.languages.utils import get_lang
  from cltk.utils import CLTK_DATA_DIR, get_file_with_progress_bar, query_yes_no
  from cltk.utils.file_operations import make_cltk_path
label_desc: Use image node_id 6 for calling the Word2VecEmbeddings obj's underlying member method code with example usage: obj._build_zip_filepath() and returns: fp_zip