diff --git a/expansionnet_v2.py b/expansionnet_v2.py
index 4902073..62d52aa 100644
--- a/expansionnet_v2.py
+++ b/expansionnet_v2.py
@@ -28,6 +28,7 @@ from towhee.types.image_utils import to_pil
 from towhee.operator.base import NNOperator, OperatorFlag
 from towhee import register
 from towhee.models import clip
+from towhee.command.s3 import S3Bucket
 
 class ExpansionNetV2(NNOperator):
     """
@@ -40,6 +41,12 @@ class ExpansionNetV2(NNOperator):
         from models.End_ExpansionNet_v2 import End_ExpansionNet_v2
         from utils.language_utils import convert_vector_idx2word
         self.convert_vector_idx2word = convert_vector_idx2word
+
+        cfg = self._configs()[model_name]
+
+        s3_bucket = S3Bucket()
+        s3_bucket.download_file(cfg['weights'], path + '/weights/')
+
         sys.path.pop()
         with open('{}/demo_coco_tokens.pickle'.format(path), 'rb') as f:
             coco_tokens = pickle.load(f)
@@ -82,8 +89,7 @@ class ExpansionNetV2(NNOperator):
                                     max_seq_len=max_seq_len, drop_args=model_args.drop_args,
                                 rank='cpu')
 
-        cfg = self.model._configs()[model_name]
-        checkpoint = torch.load('{}/weights/{}'.format(cfg,cfg['weights']), map_location=torch.device('cpu'))
+        checkpoint = torch.load('{}/weights/{}'.format(path,os.path.basename(cfg['weights'])), map_location=torch.device('cpu'))
         self.model.load_state_dict(checkpoint['model_state_dict'])
         self.model.to(self.device)
 
@@ -137,5 +143,5 @@ class ExpansionNetV2(NNOperator):
     def _configs(self):
         config = {}
         config['expansionnet_rf'] = {}
-        config['expansionnet_rf']['weights'] = 'rf_model.pth'
+        config['expansionnet_rf']['weights'] = 'image-captioning/expansionnet-v2/rf_model.pth'
         return config