class_docstr: Wrapper for fastText embeddings.
class_docstr_tok: ["Wrapper","for","fastText","embeddings","."]
docstr: Load model into memory.
  
  TODO: When testing show that this is a Gensim type
  TODO: Suppress Gensim info printout from screen
code: def _load_model(self):
      """Load model into memory.
  
      TODO: When testing show that this is a Gensim type
      TODO: Suppress Gensim info printout from screen
      """
      return models.KeyedVectors.load_word2vec_format(self.model_fp)
  
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 8 for calling the FastTextEmbeddings obj's underlying member method code with example usage: obj._load_model() and returns: models