docstr: Test the causal LM model as a decoder
docstr_tok: ["Test","the","causal","LM","model","as","a","decoder"]
code: def test_causal_lm_model_as_decoder(self):
      """Test the causal LM model as a decoder"""
      config_and_inputs = (
          self.model_tester.prepare_config_and_inputs_for_decoder()
      )
      self.model_tester.create_and_check_causal_lm_model_as_decoder(
          *config_and_inputs
      )
  
imports: import unittest
  from transformers import RemBertConfig, is_tf_available
  from transformers.testing_utils import require_tf, slow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
label_desc: Use image node_id 8 for calling the TFRemBertModelTest obj's underlying member method code with example usage: obj.test_causal_lm_model_as_decoder() without return types