How to use the danlp.download.MODELS function in danlp

def test_embeddings_with_gensim(self):
        for emb in self.embeddings_for_testing:
            embeddings = load_wv_with_gensim(emb)
            self.assertEqual(MODELS[emb]['vocab_size'], len(embeddings.vocab))

import spacy

    # spaCy does not support subwords
    word_embeddings_available(pretrained_embedding, can_use_subword=False)

    spacy_model_dir = os.path.join(cache_dir, pretrained_embedding + ".spacy")

    if os.path.isdir(spacy_model_dir):
        # Return spaCy model if spaCy model dir exists
        return spacy.load(spacy_model_dir)

    bin_file_path = os.path.join(cache_dir, pretrained_embedding + ".bin")

    if os.path.isfile(bin_file_path):
        # Then we do not need to download the model
        model_info = MODELS[pretrained_embedding]
        model_info['name'] = pretrained_embedding
        _process_embeddings_for_spacy(bin_file_path[:-4] + ".tmp", model_info)
    else:
        download_model(pretrained_embedding, cache_dir,
                       _process_embeddings_for_spacy, verbose=True,
                       file_extension='.spacy')

    return spacy.load(spacy_model_dir)