Fix for AttributeError

Author: CNOCycle

art/estimators/object_detection/pytorch_object_detector.py

@@ -140,7 +140,10 @@ def __init__(
 
         self._model: torch.nn.Module
         self._model.to(self._device)
-        self._model.model.eval()
+        try:
+            self._model.model.eval()
+        except AttributeError:
+            self._model.eval()
 
     @property
     def native_label_is_pytorch_format(self) -> bool:
@@ -403,7 +406,10 @@ def predict(self, x: np.ndarray, batch_size: int = 128, **kwargs) -> list[dict[s
         from torch.utils.data import TensorDataset, DataLoader
 
         # Set model to evaluation mode
-        self._model.model.eval()
+        try:
+            self._model.model.eval()
+        except AttributeError:
+            self._model.eval()
 
         # Apply preprocessing and convert to tensors
         x_preprocessed, _ = self._preprocess_and_convert_inputs(x=x, y=None, fit=False, no_grad=True)