Adding `batch_size` test to QA pipeline. (#17330)

tests/pipelines/test_pipelines_question_answering.py

@@ -106,6 +106,13 @@ class QAPipelineTests(unittest.TestCase, metaclass=PipelineTestCaseMeta):
         )
         self.assertEqual(outputs, {"answer": ANY(str), "start": ANY(int), "end": ANY(int), "score": ANY(float)})
 
+        # Using batch is OK
+        new_outputs = question_answerer(
+            question="Where was HuggingFace founded ?", context="HuggingFace was founded in Paris." * 20, batch_size=2
+        )
+        self.assertEqual(new_outputs, {"answer": ANY(str), "start": ANY(int), "end": ANY(int), "score": ANY(float)})
+        self.assertEqual(outputs, new_outputs)
+
     @require_torch
     def test_small_model_pt(self):
         question_answerer = pipeline(