Use DETR no_timm revision to avoid timm dependency

models/detectors/detr.py

@@ -21,8 +21,8 @@ class DetrDetector(ObjectDetector):
         else:
              self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
         logging.info("Loading %s onto %s", self.MODEL_NAME, self.device)
-        self.processor = DetrImageProcessor.from_pretrained(self.MODEL_NAME)
-        self.model = DetrForObjectDetection.from_pretrained(self.MODEL_NAME)
+        self.processor = DetrImageProcessor.from_pretrained(self.MODEL_NAME, revision="no_timm")
+        self.model = DetrForObjectDetection.from_pretrained(self.MODEL_NAME, revision="no_timm")
         self.model.to(self.device)
         self.model.eval()