fix bart tests (#10060)

tests/test_modeling_bart.py

@@ -42,7 +42,6 @@ if is_torch_available():
         BartForSequenceClassification,
         BartModel,
         BartTokenizer,
-        BartTokenizerFast,
         pipeline,
     )
     from transformers.models.bart.modeling_bart import BartDecoder, BartEncoder, shift_tokens_right
@@ -566,10 +565,6 @@ class BartModelIntegrationTests(unittest.TestCase):
     def default_tokenizer(self):
         return BartTokenizer.from_pretrained("facebook/bart-large")
 
-    @cached_property
-    def default_tokenizer_fast(self):
-        return BartTokenizerFast.from_pretrained("facebook/bart-large")
-
     @slow
     def test_inference_no_head(self):
         model = BartModel.from_pretrained("facebook/bart-large").to(torch_device)
@@ -589,14 +584,14 @@ class BartModelIntegrationTests(unittest.TestCase):
         pbase = pipeline(task="fill-mask", model="facebook/bart-base")
         src_text = [" I went to the <mask>."]
         results = [x["token_str"] for x in pbase(src_text)]
-        assert "Ġbathroom" in results
+        assert " bathroom" in results
 
     @slow
     def test_large_mask_filling(self):
         plarge = pipeline(task="fill-mask", model="facebook/bart-large")
         src_text = [" I went to the <mask>."]
         results = [x["token_str"] for x in plarge(src_text)]
-        expected_results = ["Ġbathroom", "Ġgym", "Ġwrong", "Ġmovies", "Ġhospital"]
+        expected_results = [" bathroom", " gym", " wrong", " movies", " hospital"]
         self.assertListEqual(results, expected_results)
 
     @slow