code: def set_input_embeddings(self, new_embeddings):
      self.model.set_input_embeddings(new_embeddings)
  
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 3 for calling the TFOPTModel obj's underlying member method code with example usage: obj.set_input_embeddings(new_embeddings) without return types