Update yolov5/models/experimental.py

yolov5/models/experimental.py

@@ -83,9 +83,7 @@ def attempt_load(weights, device=None, inplace=True, fuse=True):
 
     model = Ensemble()
     for w in weights if isinstance(weights, list) else [weights]:
-        with torch.serialization.safe_globals([DetectionModel, Sequential]):
         ckpt = torch.load(attempt_download(w), map_location='cpu', weights_only=False)
-
         ckpt = (ckpt.get('ema') or ckpt['model']).to(device).float()  # FP32 model
 
         # Model compatibility updates