diff --git a/expansionnet_v2.py b/expansionnet_v2.py
index 2020cf3..90a7e12 100644
--- a/expansionnet_v2.py
+++ b/expansionnet_v2.py
@@ -35,12 +35,12 @@ class ExpansionNetV2(NNOperator):
     """
     def __init__(self, model_name: str):
         super().__init__()
-        sys.path.append(str(pathlib.Path(__file__).parent))
+        path = str(pathlib.Path(__file__).parent)
+        sys.path.append(path)
         from models.End_ExpansionNet_v2 import End_ExpansionNet_v2
         from utils.language_utils import convert_vector_idx2word
         self.convert_vector_idx2word = convert_vector_idx2word
         sys.path.pop()
-        path = pathlib.Path(__file__).parent
         with open('{}/demo_coco_tokens.pickle'.format(path), 'rb') as f:
             coco_tokens = pickle.load(f)
             self.coco_tokens = coco_tokens
@@ -82,6 +82,10 @@ class ExpansionNetV2(NNOperator):
                                     max_seq_len=max_seq_len, drop_args=model_args.drop_args,
                                 rank='cpu')
 
+        checkpoint = torch.load('{}/weights/rf_model.pth'.format(path), map_location=torch.device('cpu'))
+        self.model.load_state_dict(checkpoint['model_state_dict'])
+        self.model.to(self.device)
+
         self.transf_1 = torchvision.transforms.Compose([torchvision.transforms.Resize((img_size, img_size)), torchvision.transforms.ToTensor()])
         self.transf_2 = torchvision.transforms.Compose([torchvision.transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])])
         self.beam_search_kwargs = {'beam_size': beam_size,
diff --git a/weights/rf_model.pth b/weights/rf_model.pth
new file mode 100644
index 0000000..3b9ac2f
--- /dev/null
+++ b/weights/rf_model.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4abee9777d227400af36717de758c45bb2ac3e8b0a3935fe1c7af294c05d1ebe
+size 2819735367