diff --git a/demo/sequence-labeling/sequence_label.py b/demo/sequence-labeling/sequence_label.py
index 2fe72b5b16d2864d78ed8b296ad6a410fb72f5b2..673f2ccf2f106a9f0fb488e05feb2aafdf1ab305 100644
--- a/demo/sequence-labeling/sequence_label.py
+++ b/demo/sequence-labeling/sequence_label.py
@@ -37,7 +37,7 @@ args = parser.parse_args()
 
 if __name__ == '__main__':
     # Load Paddlehub ERNIE pretrained model
-    module = hub.Module(name="ernie_v2_chinese_tiny")
+    module = hub.Module(name="ernie_tiny")
     inputs, outputs, program = module.context(
         trainable=True, max_seq_len=args.max_seq_len)
     if module.name.startswith("ernie_v2"):
diff --git a/demo/text-classification/text_classifier.py b/demo/text-classification/text_classifier.py
index abeabcdf6f055c0b9672b392ee338129751518d8..9dee887e959b312117820d6ac2c30d23bec7dbe7 100644
--- a/demo/text-classification/text_classifier.py
+++ b/demo/text-classification/text_classifier.py
@@ -42,7 +42,7 @@ if __name__ == '__main__':
     # Download dataset and use ClassifyReader to read dataset
     if args.dataset.lower() == "chnsenticorp":
         dataset = hub.dataset.ChnSentiCorp()
-        module = hub.Module(name="ernie_v2_chinese_tiny")
+        module = hub.Module(name="ernie_tiny")
         metrics_choices = ["acc"]
     elif args.dataset.lower() == "tnews":
         dataset = hub.dataset.TNews()