diff --git a/modelscope/pipelines/nlp/nli_pipeline.py b/modelscope/pipelines/nlp/nli_pipeline.py
index fe658c77..135f826a 100644
--- a/modelscope/pipelines/nlp/nli_pipeline.py
+++ b/modelscope/pipelines/nlp/nli_pipeline.py
@@ -31,8 +31,8 @@ class NLIPipeline(Pipeline):
         """
         assert isinstance(model, str) or isinstance(model, SbertForNLI), \
             'model must be a single str or SbertForNLI'
-        sc_model = model if isinstance(model,
-                                       SbertForNLI) else SbertForNLI(model)
+        sc_model = model if isinstance(
+            model, SbertForNLI) else Model.from_pretrained(model)
         if preprocessor is None:
             preprocessor = NLIPreprocessor(
                 sc_model.model_dir,
diff --git a/test.py b/test.py
index d0cd093b..b10a7d0b 100644
--- a/test.py
+++ b/test.py
@@ -9,4 +9,7 @@ tokenizer = NLIPreprocessor(model.model_dir)
 semantic_cls = pipeline('nli', model=model, preprocessor=tokenizer)
 print(type(semantic_cls))
 
-print(semantic_cls(input=('相反，这表明克林顿的敌人是疯子。', '四川商务职业学院商务管理在哪个校区？')))
+print(
+    semantic_cls(
+        input=('我想还有一件事也伤害到了老师的招聘，那就是他们在课堂上失去了很多的权威',
+               '教师在课堂上失去权威，导致想要进入这一职业的人减少了。')))