def METHOD_NAME(mind_resource_path):
    wordEmb_file = os.path.join(mind_resource_path, "utils", "embedding.npy")
    userDict_file = os.path.join(mind_resource_path, "utils", "uid2index.pkl")
    wordDict_file = os.path.join(mind_resource_path, "utils", "word_dict.pkl")
    yaml_file = os.path.join(mind_resource_path, "utils", r"nrms.yaml")
    if not os.path.exists(yaml_file):
        download_deeprec_resources(
            r"https://recodatasets.z20.web.core.windows.net/newsrec/",
            os.path.join(mind_resource_path, "utils"),
            "MINDdemo_utils.zip",
        )
    hparams = prepare_hparams(
        yaml_file,
        wordEmb_file=wordEmb_file,
        wordDict_file=wordDict_file,
        userDict_file=userDict_file,
        epochs=1,
    )
    iterator = MINDIterator
    model = NRMSModel(hparams, iterator)
    assert model.model is not None
    assert model.scorer is not None
    assert model.loss is not None
    assert model.train_optimizer is not None