diff --git a/PaddleNLP/emotion_detection/README.md b/PaddleNLP/emotion_detection/README.md
index 11bb00a478ae7ae77d1bbb85a8fb9bb13e9539c5..71de7b3eedfc6b0b62f406d10c6e2fa6bf46cf2c 100644
--- a/PaddleNLP/emotion_detection/README.md
+++ b/PaddleNLP/emotion_detection/README.md
@@ -19,10 +19,9 @@
 
 ## 快速开始
 
-本项目依赖于 Python2.7、Paddlepaddle Fluid 1.4.0以及PaddleHub 0.5.0，请确保相关依赖都已安装正确
+本项目依赖于 Paddlepaddle 1.3.2 及以上版本，请参考 [安装指南](http://www.paddlepaddle.org/#quick-start) 进行安装
 
-[PaddlePaddle安装指南](http://www.paddlepaddle.org/#quick-start)
-[PaddleHub安装指南](https://github.com/PaddlePaddle/PaddleHub)
+python版本依赖python 2.7
 
 #### 安装代码
 
@@ -169,6 +168,19 @@ python tokenizer.py --test_data_dir ./test.txt.utf8 --batch_size 1 > test.txt.ut
 --init_checkpoint ./models/ernie_finetune/params
 ```
 
+我们也提供了使用PaddleHub加载ERNIE模型的选项，PaddleHub是PaddlePaddle的预训练模型管理工具，可以一行代码完成预训练模型的加载，简化预训练模型的使用和迁移学习。更多相关的介绍，可以查看[PaddleHub](https://github.com/PaddlePaddle/PaddleHub)
+
+如果想使用该功能，需要修改run_ernie.sh中的配置如下：
+```shell
+# 在train()函数中，修改--use_paddle_hub选项
+--use_paddle_hub true
+```
+
+注意：使用该选项需要先安装PaddleHub，安装命令如下
+```shell
+$ pip install paddlehub
+```
+
 ## 如何贡献代码
 
 如果你可以修复某个issue或者增加一个新功能，欢迎给我们提交PR。如果对应的PR被接受了，我们将根据贡献的质量和难度进行打分（0-5分，越高越好）。如果你累计获得了10分，可以联系我们获得面试机会或者为你写推荐信。
diff --git a/PaddleNLP/emotion_detection/run_ernie.sh b/PaddleNLP/emotion_detection/run_ernie.sh
index e90faf2f5ae1a781f24825d5ea4426242dc7870d..56c9bc7a89b88291468bd2ea279223188ea29c74 100644
--- a/PaddleNLP/emotion_detection/run_ernie.sh
+++ b/PaddleNLP/emotion_detection/run_ernie.sh
@@ -12,6 +12,7 @@ train() {
         --verbose true \
         --do_train true \
         --do_val true \
+        --use_paddle_hub false \
         --batch_size 32 \
         --init_checkpoint ${MODEL_PATH}/params \
         --train_set ${TASK_DATA_PATH}/train.tsv \
@@ -35,6 +36,7 @@ evaluate() {
         --use_cuda true \
         --verbose true \
         --do_val true \
+        --use_paddle_hub false \
         --batch_size 32 \
         --init_checkpoint ${MODEL_PATH}/params \
         --test_set ${TASK_DATA_PATH}/test.tsv \
@@ -50,6 +52,7 @@ infer() {
         --use_cuda true \
         --verbose true \
         --do_infer true \
+        --use_paddle_hub false \
         --batch_size 32 \
         --init_checkpoint ${MODEL_PATH}/params \
         --infer_set ${TASK_DATA_PATH}/infer.tsv \
diff --git a/PaddleNLP/emotion_detection/run_ernie_classifier.py b/PaddleNLP/emotion_detection/run_ernie_classifier.py
index 8a996740f7130e0f5743208e410cca0c5e8074d9..2a5c20f14e22b10d53f47673e6cbda4db070df86 100644
--- a/PaddleNLP/emotion_detection/run_ernie_classifier.py
+++ b/PaddleNLP/emotion_detection/run_ernie_classifier.py
@@ -28,6 +28,7 @@ model_g.add_arg("ernie_config_path", str, None, "Path to the json file for ernie
 model_g.add_arg("senta_config_path", str, None, "Path to the json file for senta model config.")
 model_g.add_arg("init_checkpoint", str, None, "Init checkpoint to resume training from.")
 model_g.add_arg("output_dir", str, "checkpoints", "Path to save checkpoints")
+model_g.add_arg("use_paddle_hub", bool, False, "Whether to load ERNIE using PaddleHub")
 
 train_g = utils.ArgumentGroup(parser, "training", "training options.")
 train_g.add_arg("epoch", int, 10, "Number of epoches for training.")
@@ -201,7 +202,10 @@ def main(args):
                     pyreader_name='train_reader')
 
                 # get ernie_embeddings
-                embeddings = ernie.ernie_encoder_with_paddle_hub(ernie_inputs, args.max_seq_len)
+                if args.use_paddle_hub:
+                    embeddings = ernie.ernie_encoder_with_paddle_hub(ernie_inputs, args.max_seq_len)
+                else:
+                    embeddings = ernie.ernie_encoder(ernie_inputs, ernie_config=ernie_config)
 
                 # user defined model based on ernie embeddings
                 loss, accuracy, num_seqs = create_model(
@@ -233,7 +237,10 @@ def main(args):
                     pyreader_name='eval_reader')
 
                 # get ernie_embeddings
-                embeddings = ernie.ernie_encoder_with_paddle_hub(ernie_inputs, args.max_seq_len)
+                if args.use_paddle_hub:
+                    embeddings = ernie.ernie_encoder_with_paddle_hub(ernie_inputs, args.max_seq_len)
+                else:
+                    embeddings = ernie.ernie_encoder(ernie_inputs, ernie_config=ernie_config)
 
                 # user defined model based on ernie embeddings
                 loss, accuracy, num_seqs = create_model(
@@ -253,7 +260,10 @@ def main(args):
                     pyreader_name='infer_reader')
 
                 # get ernie_embeddings
-                embeddings = ernie.ernie_encoder_with_paddle_hub(ernie_inputs, args.max_seq_len)
+                if args.use_paddle_hub:
+                    embeddings = ernie.ernie_encoder_with_paddle_hub(ernie_inputs, args.max_seq_len)
+                else:
+                    embeddings = ernie.ernie_encoder(ernie_inputs, ernie_config=ernie_config)
 
                 probs = create_model(args,
                                     embeddings,
diff --git a/PaddleNLP/models/representation/ernie.py b/PaddleNLP/models/representation/ernie.py
index 8dbc5c6e64af5a33359464e06cecff4740de9df4..90061d9dd6a1f9d4e05539d53b17185d24e86729 100644
--- a/PaddleNLP/models/representation/ernie.py
+++ b/PaddleNLP/models/representation/ernie.py
@@ -57,8 +57,7 @@ def ernie_encoder_with_paddle_hub(ernie_inputs, max_seq_len):
         pre_program=main_program,
         next_program=program,
         input_dict=input_dict,
-        inplace=True,
-        need_log=False)
+        inplace=True)
 
     enc_out = outputs["sequence_output"]
     unpad_enc_out = fluid.layers.sequence_unpad(