code: def get_test_pipeline(self, model, tokenizer, feature_extractor):
      if tokenizer is None or tokenizer.mask_token_id is None:
          self.skipTest(
              "The provided tokenizer has no mask token, (probably reformer or wav2vec2)"
          )
  
      fill_masker = FillMaskPipeline(model=model, tokenizer=tokenizer)
      examples = [
          f"This is another {tokenizer.mask_token} test",
      ]
      return fill_masker, examples
  
imports: import unittest
  from transformers import MODEL_FOR_MASKED_LM_MAPPING, TF_MODEL_FOR_MASKED_LM_MAPPING, FillMaskPipeline, pipeline
  from transformers.pipelines import PipelineException
  from transformers.testing_utils import nested_simplify, require_tf, require_torch, require_torch_gpu, slow
  from .test_pipelines_common import ANY, PipelineTestCaseMeta
label_desc: Use image node_id 9 for calling the FillMaskPipelineTests obj's underlying member method code with example usage: obj.get_test_pipeline(model, tokenizer, feature_extractor) and returns: fill_masker,  examples