[to #42322933]skip sbert_en&bert_ch to save ci time

![](https://cn-hangzhou.oss-cdn.aliyun-inc.com/git/force/uploads/comment/251924/40165669611078357/image.png)
fill mask pipeline 测试时间过长

这个task测了4个模型。从保证代码正确性的功能角度看，只测一个bert类(比如sbert中文），一个roberta类（veco)。减少测试的模型数量以减少测试时长。
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10006556

    * skip sbert_en&bert_ch to save ci time

tests/pipelines/test_fill_mask.py

@@ -43,7 +43,7 @@ class FillMaskTest(unittest.TestCase):
     @unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
     def test_run_by_direct_model_download(self):
         # sbert
-        for language in ['zh', 'en']:
+        for language in ['zh']:
             model_dir = snapshot_download(self.model_id_sbert[language])
             preprocessor = FillMaskPreprocessor(
                 model_dir, first_sequence='sentence', second_sequence=None)
@@ -74,24 +74,10 @@ class FillMaskTest(unittest.TestCase):
                 f'{pipeline1(test_input)}\npipeline2: {pipeline2(test_input)}\n'
             )
 
-        # zh bert
-        language = 'zh'
-        model_dir = snapshot_download(self.model_id_bert)
-        preprocessor = FillMaskPreprocessor(
-            model_dir, first_sequence='sentence', second_sequence=None)
-        model = BertForMaskedLM.from_pretrained(model_dir)
-        pipeline1 = FillMaskPipeline(model, preprocessor)
-        pipeline2 = pipeline(
-            Tasks.fill_mask, model=model, preprocessor=preprocessor)
-        ori_text = self.ori_texts[language]
-        test_input = self.test_inputs[language]
-        print(f'\nori_text: {ori_text}\ninput: {test_input}\npipeline1: '
-              f'{pipeline1(test_input)}\npipeline2: {pipeline2(test_input)}\n')
-
     @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
     def test_run_with_model_from_modelhub(self):
         # sbert
-        for language in ['zh', 'en']:
+        for language in ['zh']:
             print(self.model_id_sbert[language])
             model = Model.from_pretrained(self.model_id_sbert[language])
             preprocessor = FillMaskPreprocessor(
@@ -121,20 +107,6 @@ class FillMaskTest(unittest.TestCase):
                     f'\nori_text: {ori_text}\ninput: {test_input}\npipeline: '
                     f'{pipeline_ins(test_input)}\n')
 
-        # zh bert
-        model = Model.from_pretrained(self.model_id_bert)
-        preprocessor = FillMaskPreprocessor(
-            model.model_dir, first_sequence='sentence', second_sequence=None)
-        pipeline_ins = pipeline(
-            Tasks.fill_mask, model=model, preprocessor=preprocessor)
-        language = 'zh'
-        ori_text = self.ori_texts[language]
-        test_input = self.test_inputs[language]
-        with self.regress_tool.monitor_module_single_forward(
-                pipeline_ins.model, 'fill_mask_bert_zh'):
-            print(f'\nori_text: {ori_text}\ninput: {test_input}\npipeline: '
-                  f'{pipeline_ins(test_input)}\n')
-
     @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
     def test_run_with_model_name(self):
         # veco
@@ -153,12 +125,6 @@ class FillMaskTest(unittest.TestCase):
             f'\nori_text: {self.ori_texts[language]}\ninput: {self.test_inputs[language]}\npipeline: '
             f'{pipeline_ins(self.test_inputs[language])}\n')
 
-        # bert
-        pipeline_ins = pipeline(task=Tasks.fill_mask, model=self.model_id_bert)
-        print(
-            f'\nori_text: {self.ori_texts[language]}\ninput: {self.test_inputs[language]}\npipeline: '
-            f'{pipeline_ins(self.test_inputs[language])}\n')
-
     @unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
     def test_run_with_default_model(self):
         pipeline_ins = pipeline(task=Tasks.fill_mask)