def get_model(args):
    """
    Load local model package or torchhub pre-trained model.
    """
    if args.model_path:
        logger.info("Loading model from %s", args.model_path)
        pkg = torch.load(args.model_path)
        model = deserialize_model(pkg)
    elif args.dns64:
        logger.info("Loading pre-trained real time H=64 model trained on DNS.")
        model = dns64()
    elif args.master64:
        logger.info(
            "Loading pre-trained real time H=64 model trained on DNS and Valentini."
        )
        model = master64()
    else:
        logger.info("Loading pre-trained real time H=48 model trained on DNS.")
        model = dns48()
    logger.debug(model)
    return model

    Load local model package or torchhub pre-trained model.
    
structured_prompting/fairseq-version/fairseq/examples/speech_synthesis/preprocessing/denoiser/pretrained.py