def METHOD_NAME():
    params = {
        'model_type': 'transf',
        'transf': {
            'n_heads': 2,
            'dim_hidden': 16,
            'dropout': .1,
            'n_layers': 2,
            'max_seq_len': 200,
            'use_after_mask': True,
            'use_positional_encoding': True,
            'sum_output': True,
            'input_size': 16,
            'train_starter': True,
            'shared_layers': False,
            'use_src_key_padding_mask': False
        },
        "head": {
            "explicit_lengths": False,
        }
    }
    return ConfigFactory.from_dict(params).with_fallback(tst_params_data())