diff --git a/face_analysis/bisenet_model.py b/face_analysis/bisenet_model.py
index aa224dd..cfed71a 100644
--- a/face_analysis/bisenet_model.py
+++ b/face_analysis/bisenet_model.py
@@ -79,7 +79,7 @@ class Resnet18(nn.Module):
     def init_weight(self):
         # 优先本地骨干权重（内网离线），缺失才回退 torch model_zoo（会查缓存）。
         if os.path.isfile(_LOCAL_RESNET18):
-            state_dict = torch.load(_LOCAL_RESNET18, map_location="cpu")
+            state_dict = torch.load(_LOCAL_RESNET18, map_location="cpu", weights_only=False)
         else:
             state_dict = modelzoo.load_url(resnet18_url)
         self_state_dict = self.state_dict()
diff --git a/face_analysis/hair_segmenter.py b/face_analysis/hair_segmenter.py
index ff2c05f..f0ce40a 100644
--- a/face_analysis/hair_segmenter.py
+++ b/face_analysis/hair_segmenter.py
@@ -52,7 +52,7 @@ class HairSegmenter:
         self._torch = torch
         self.device = _select_device(torch)
         self.net = BiSeNet(n_classes=N_CLASSES)
-        state = torch.load(weights_path, map_location="cpu")
+        state = torch.load(weights_path, map_location="cpu", weights_only=False)
         self.net.load_state_dict(state)
         self.net.to(self.device)
         self.net.eval()