code: def __init__(self, config: OPTConfig, **kwargs):
      super().__init__(config, **kwargs)
      self.config = config
      self.model = TFOPTMainLayer(config, name="model")
  
imports: from typing import Optional, Tuple, Union
  import numpy
  import tensorflow
  from ...activations_tf import get_tf_activation
  from ...modeling_tf_outputs import TFBaseModelOutputWithPast, TFCausalLMOutputWithPast
  from ...modeling_tf_utils import DUMMY_INPUTS, TFCausalLanguageModelingLoss, TFModelInputType, TFPreTrainedModel, TFSharedEmbeddings, keras_serializable, unpack_inputs
  from ...tf_utils import shape_list, stable_softmax
  from ...utils import add_code_sample_docstrings, add_start_docstrings, add_start_docstrings_to_model_forward, logging, replace_return_docstrings
  from .configuration_opt import OPTConfig
label_desc: Use image node_id 1 to create a new TFOPTForCausalLM object from inherited base classes: TFOPTPreTrainedModel, TFCausalLanguageModelingLoss with example: obj = TFOPTForCausalLM(config)