code: def __init__(self, config: DictConfig, **kwargs):
      super().__init__(config, **kwargs)
  
imports: import warnings
  import torch
  import torch.nn
  from omegaconf import DictConfig
  from pytorch_tabular.models.common.layers import Embedding1dLayer
  from pytorch_tabular.utils import get_logger
  from ..base_model import BaseModel
  from ..common import activations
  from ..common.layers import Lambda
  from .architecture_blocks import DenseODSTBlock
label_desc: Use image node_id 1 to create a new NODEModel object from inherited base classes: BaseModel with example: obj = NODEModel(config)