code: def model_creator(config):
      return LSTMSeq2Seq(
          input_feature_num=config["input_feature_num"],
          output_feature_num=config["output_feature_num"],
          future_seq_len=config["future_seq_len"],
          lstm_hidden_dim=config.get("lstm_hidden_dim", 128),
          lstm_layer_num=config.get("lstm_layer_num", 2),
          dropout=config.get("dropout", 0.25),
          teacher_forcing=config.get("teacher_forcing", False),
      )
  
file_path: analytics-zoo/pyzoo/zoo/chronos/model/Seq2Seq_pytorch.py
imports: import torch
  import torch.nn
  from zoo.orca.automl.model.base_pytorch_model import PytorchBaseModel, PYTORCH_REGRESSION_LOSS_MAP
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: model_creator(config) and returns: LSTMSeq2Seq