diff --git a/demo/text_classification/text_cls.py b/demo/text_classification/text_cls.py
index a7f4376d44e53637201b270e4fa03f8a750c02e3..9c7d342920456406e67108c15d416c629bda9864 100644
--- a/demo/text_classification/text_cls.py
+++ b/demo/text_classification/text_cls.py
@@ -13,7 +13,7 @@
 # limitations under the License.
 from paddlehub.datasets.chnsenticorp import ChnSentiCorp
 from paddlehub.finetune.trainer import Trainer
-from paddlehub.model.modeling_ernie import ErnieforSequenceClassification
+from paddlehub.model.modeling_ernie import ErnieForSequenceClassification
 import paddle.fluid as fluid
 import paddlehub as hub
 
@@ -29,7 +29,7 @@ if __name__ == '__main__':
         dev_dataset = ChnSentiCorp(
             tokenizer=ernie.get_tokenizer(tokenize_chinese_chars=True), max_seq_len=128, mode='dev')
 
-        model = ErnieforSequenceClassification(ernie_module=ernie, num_classes=len(train_dataset.get_labels()))
+        model = ErnieForSequenceClassification(ernie_module=ernie, num_classes=len(train_dataset.get_labels()))
 
         optimizer = fluid.optimizer.AdamOptimizer(learning_rate=5e-5, parameter_list=model.parameters())
         trainer = Trainer(model, optimizer, checkpoint_dir='test_ernie_text_cls')
diff --git a/paddlehub/model/modeling_ernie.py b/paddlehub/model/modeling_ernie.py
index a5b8a1261d6e5b63cd31108e049a3d2253d04788..1b4cbe9bec859334e61ee2c67bc82011c9fe9158 100644
--- a/paddlehub/model/modeling_ernie.py
+++ b/paddlehub/model/modeling_ernie.py
@@ -22,7 +22,7 @@ from paddlehub.module.module import moduleinfo, Module
 from paddlehub.tokenizer.bert_tokenizer import BertTokenizer
 
 
-class ErnieforSequenceClassification(dygraph.Layer):
+class ErnieForSequenceClassification(dygraph.Layer):
     """
     This model is customized for that enrie module does the sequence classification, such as the text sentiment classification.
     This model exploits the ernie + full-connect layers (softmax as activation) to classify the texts.