class_docstr: Wrapper for self-hosted Word2Vec embeddings.
class_docstr_tok: ["Wrapper","for","self-hosted","Word2Vec","embeddings","."]
docstr: Create filepath where chosen language should be found.
code: def _build_filepath(self):
      """Create filepath where chosen language should be found."""
      model_dir = os.path.join(
          self.iso_code,
          "models",
          f"{self.iso_code}_models_cltk",
          "semantics",
      )  # type: str
      return os.path.join(
          model_dir, f"me_word_embeddings_model.{self.model_type}"
      )
  
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 2 for calling the CLTKWord2VecEmbeddings obj's underlying member method code with example usage: obj._build_filepath() and returns: os