def load_pretrained_vectors(dest_path, file_name="wiki.simple.bin"):
    """ Method that loads fastText vectors. Downloads if it doesn't exist.

    Args:
        file_name(str): Name of the fastText file.
        dest_path(str): Path to the directory where fastText vectors exist or will be
        downloaded.

    Returns:
        gensim.models.fasttext.load_facebook_model: Loaded word2vectors

    """

    file_path = _maybe_download_and_extract(dest_path, file_name)
    model = load_facebook_model(file_path)
    return model
 Method that loads fastText vectors. Downloads if it doesn't exist.

    Args:
        file_name(str): Name of the fastText file.
        dest_path(str): Path to the directory where fastText vectors exist or will be
        downloaded.

    Returns:
        gensim.models.fasttext.load_facebook_model: Loaded word2vectors

    
utils_nlp/models/pretrained_embeddings/fasttext.py