Hotfixing master tests. (#13282)

tests/test_pipelines_text_classification.py

@@ -31,7 +31,7 @@ class TextClassificationPipelineTests(unittest.TestCase, metaclass=PipelineTestC
     tf_model_mapping = TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING
 
     @require_torch
-    def test_pt_bert_small(self):
+    def test_small_model_pt(self):
         text_classifier = pipeline(
             task="text-classification", model="Narsil/tiny-distilbert-sequence-classification", framework="pt"
         )
@@ -40,7 +40,7 @@ class TextClassificationPipelineTests(unittest.TestCase, metaclass=PipelineTestC
         self.assertEqual(nested_simplify(outputs), [{"label": "LABEL_1", "score": 0.502}])
 
     @require_tf
-    def test_tf_bert_small(self):
+    def test_small_model_tf(self):
         text_classifier = pipeline(
             task="text-classification", model="Narsil/tiny-distilbert-sequence-classification", framework="tf"
         )