code: def test_small_model_tf(self):
      unmasker = pipeline(
          task="fill-mask",
          model="sshleifer/tiny-distilroberta-base",
          top_k=2,
          framework="tf",
      )
      outputs = unmasker("My name is <mask>")
      self.assertEqual(
          nested_simplify(outputs, decimals=6),
          [
              {
                  "sequence": "My name is grouped",
                  "score": 2.1e-05,
                  "token": 38015,
                  "token_str": " grouped",
              },
              {
                  "sequence": "My name is accuser",
                  "score": 2.1e-05,
                  "token": 25506,
                  "token_str": " accuser",
              },
          ],
      )
  
      outputs = unmasker("The largest city in France is <mask>")
      self.assertEqual(
          nested_simplify(outputs, decimals=6),
          [
              {
                  "sequence": "The largest city in France is grouped",
                  "score": 2.1e-05,
                  "token": 38015,
                  "token_str": " grouped",
              },
              {
                  "sequence": "The largest city in France is accuser",
                  "score": 2.1e-05,
                  "token": 25506,
                  "token_str": " accuser",
              },
          ],
      )
  
      outputs = unmasker(
          "My name is <mask>",
          targets=[" Patrick", " Clara", " Teven"],
          top_k=3,
      )
      self.assertEqual(
          nested_simplify(outputs, decimals=6),
          [
              {
                  "sequence": "My name is Clara",
                  "score": 2e-05,
                  "token": 13606,
                  "token_str": " Clara",
              },
              {
                  "sequence": "My name is Patrick",
                  "score": 2e-05,
                  "token": 3499,
                  "token_str": " Patrick",
              },
              {
                  "sequence": "My name is Te",
                  "score": 1.9e-05,
                  "token": 2941,
                  "token_str": " Te",
              },
          ],
      )
  
imports: import gc
  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 backend_empty_cache, is_pipeline_test, is_torch_available, nested_simplify, require_tf, require_torch, require_torch_accelerator, slow, torch_device
  from .test_pipelines_common import ANY
label_desc: Use image node_id 2 for calling the FillMaskPipelineTests obj's underlying member method code with example usage: obj.test_small_model_tf() without return types