diff --git a/references/classification/train.py b/references/classification/train.py
index b16ed3d2a42..b2c6844df9b 100644
--- a/references/classification/train.py
+++ b/references/classification/train.py
@@ -158,8 +158,7 @@ def load_data(traindir, valdir, args):
                 crop_size=val_crop_size, resize_size=val_resize_size, interpolation=interpolation
             )
         else:
-            fn = PM.quantization.__dict__[args.model] if hasattr(args, "backend") else PM.__dict__[args.model]
-            weights = PM._api.get_weight(fn, args.weights)
+            weights = PM.get_weight(args.weights)
             preprocessing = weights.transforms()
 
         dataset_test = torchvision.datasets.ImageFolder(
diff --git a/references/detection/train.py b/references/detection/train.py
index ae13a32bd22..0788895af20 100644
--- a/references/detection/train.py
+++ b/references/detection/train.py
@@ -53,8 +53,7 @@ def get_transform(train, args):
     elif not args.weights:
         return presets.DetectionPresetEval()
     else:
-        fn = PM.detection.__dict__[args.model]
-        weights = PM._api.get_weight(fn, args.weights)
+        weights = PM.get_weight(args.weights)
         return weights.transforms()
 
 
diff --git a/references/segmentation/train.py b/references/segmentation/train.py
index 2dbb962fe2f..72a9bdb01f5 100644
--- a/references/segmentation/train.py
+++ b/references/segmentation/train.py
@@ -38,8 +38,7 @@ def get_transform(train, args):
     elif not args.weights:
         return presets.SegmentationPresetEval(base_size=520)
     else:
-        fn = PM.segmentation.__dict__[args.model]
-        weights = PM._api.get_weight(fn, args.weights)
+        weights = PM.get_weight(args.weights)
         return weights.transforms()
 
 
diff --git a/references/video_classification/train.py b/references/video_classification/train.py
index d66879e5b46..1f363f57dad 100644
--- a/references/video_classification/train.py
+++ b/references/video_classification/train.py
@@ -160,8 +160,7 @@ def main(args):
     if not args.weights:
         transform_test = presets.VideoClassificationPresetEval((128, 171), (112, 112))
     else:
-        fn = PM.video.__dict__[args.model]
-        weights = PM._api.get_weight(fn, args.weights)
+        weights = PM.get_weight(args.weights)
         transform_test = weights.transforms()
 
     if args.cache_dataset and os.path.exists(cache_path):
diff --git a/test/test_models.py b/test/test_models.py
index 5fbe0dca38f..b5500ef08b4 100644
--- a/test/test_models.py
+++ b/test/test_models.py
@@ -22,7 +22,11 @@
 
 def get_models_from_module(module):
     # TODO add a registration mechanism to torchvision.models
-    return [v for k, v in module.__dict__.items() if callable(v) and k[0].lower() == k[0] and k[0] != "_"]
+    return [
+        v
+        for k, v in module.__dict__.items()
+        if callable(v) and k[0].lower() == k[0] and k[0] != "_" and k != "get_weight"
+    ]
 
 
 @pytest.fixture
diff --git a/test/test_prototype_models.py b/test/test_prototype_models.py
index 92a88342534..1dc883528ef 100644
--- a/test/test_prototype_models.py
+++ b/test/test_prototype_models.py
@@ -24,6 +24,19 @@ def _get_parent_module(model_fn):
     return module
 
 
+def _get_model_weights(model_fn):
+    module = _get_parent_module(model_fn)
+    weights_name = "_QuantizedWeights" if module.__name__.split(".")[-1] == "quantization" else "_Weights"
+    try:
+        return next(
+            v
+            for k, v in module.__dict__.items()
+            if k.endswith(weights_name) and k.replace(weights_name, "").lower() == model_fn.__name__
+        )
+    except StopIteration:
+        return None
+
+
 def _build_model(fn, **kwargs):
     try:
         model = fn(**kwargs)
@@ -36,24 +49,22 @@ def _build_model(fn, **kwargs):
 
 
 @pytest.mark.parametrize(
-    "model_fn, name, weight",
+    "name, weight",
     [
-        (models.resnet50, "ImageNet1K_V1", models.ResNet50_Weights.ImageNet1K_V1),
-        (models.resnet50, "default", models.ResNet50_Weights.ImageNet1K_V2),
+        ("ResNet50_Weights.ImageNet1K_V1", models.ResNet50_Weights.ImageNet1K_V1),
+        ("ResNet50_Weights.default", models.ResNet50_Weights.ImageNet1K_V2),
         (
-            models.quantization.resnet50,
-            "default",
+            "ResNet50_QuantizedWeights.default",
             models.quantization.ResNet50_QuantizedWeights.ImageNet1K_FBGEMM_V2,
         ),
         (
-            models.quantization.resnet50,
-            "ImageNet1K_FBGEMM_V1",
+            "ResNet50_QuantizedWeights.ImageNet1K_FBGEMM_V1",
             models.quantization.ResNet50_QuantizedWeights.ImageNet1K_FBGEMM_V1,
         ),
     ],
 )
-def test_get_weight(model_fn, name, weight):
-    assert models._api.get_weight(model_fn, name) == weight
+def test_get_weight(name, weight):
+    assert models.get_weight(name) == weight
 
 
 @pytest.mark.parametrize(
@@ -65,10 +76,9 @@ def test_get_weight(model_fn, name, weight):
     + TM.get_models_from_module(models.video),
 )
 def test_naming_conventions(model_fn):
-    model_name = model_fn.__name__
-    module = _get_parent_module(model_fn)
-    weights_name = "_QuantizedWeights" if module.__name__.split(".")[-1] == "quantization" else "_Weights"
-    assert model_name in set(x.replace(weights_name, "").lower() for x in module.__dict__ if x.endswith(weights_name))
+    weights_enum = _get_model_weights(model_fn)
+    assert weights_enum is not None
+    assert len(weights_enum) == 0 or hasattr(weights_enum, "default")
 
 
 @pytest.mark.parametrize("model_fn", TM.get_models_from_module(models))
diff --git a/torchvision/prototype/models/__init__.py b/torchvision/prototype/models/__init__.py
index f675dc37f25..12a4738e53c 100644
--- a/torchvision/prototype/models/__init__.py
+++ b/torchvision/prototype/models/__init__.py
@@ -15,3 +15,4 @@
 from . import quantization
 from . import segmentation
 from . import video
+from ._api import get_weight
diff --git a/torchvision/prototype/models/_api.py b/torchvision/prototype/models/_api.py
index 2935039e087..1f66fd2be45 100644
--- a/torchvision/prototype/models/_api.py
+++ b/torchvision/prototype/models/_api.py
@@ -1,7 +1,9 @@
+import importlib
+import inspect
+import sys
 from collections import OrderedDict
 from dataclasses import dataclass, fields
 from enum import Enum
-from inspect import signature
 from typing import Any, Callable, Dict
 
 from ..._internally_replaced_utils import load_state_dict_from_url
@@ -30,7 +32,6 @@ class Weights:
     url: str
     transforms: Callable
     meta: Dict[str, Any]
-    default: bool
 
 
 class WeightsEnum(Enum):
@@ -50,7 +51,7 @@ def __init__(self, value: Weights):
     def verify(cls, obj: Any) -> Any:
         if obj is not None:
             if type(obj) is str:
-                obj = cls.from_str(obj)
+                obj = cls.from_str(obj.replace(cls.__name__ + ".", ""))
             elif not isinstance(obj, cls):
                 raise TypeError(
                     f"Invalid Weight class provided; expected {cls.__name__} but received {obj.__class__.__name__}."
@@ -59,8 +60,8 @@ def verify(cls, obj: Any) -> Any:
 
     @classmethod
     def from_str(cls, value: str) -> "WeightsEnum":
-        for v in cls:
-            if v._name_ == value or (value == "default" and v.default):
+        for k, v in cls.__members__.items():
+            if k == value:
                 return v
         raise ValueError(f"Invalid value {value} for enum {cls.__name__}.")
 
@@ -78,41 +79,35 @@ def __getattr__(self, name):
         return super().__getattr__(name)
 
 
-def get_weight(fn: Callable, weight_name: str) -> WeightsEnum:
+def get_weight(name: str) -> WeightsEnum:
     """
-    Gets the weight enum of a specific model builder method and weight name combination.
+    Gets the weight enum value by its full name. Example: "ResNet50_Weights.ImageNet1K_V1"
 
     Args:
-        fn (Callable): The builder method used to create the model.
-        weight_name (str): The name of the weight enum entry of the specific model.
+        name (str): The name of the weight enum entry.
 
     Returns:
         WeightsEnum: The requested weight enum.
     """
-    sig = signature(fn)
-    if "weights" not in sig.parameters:
-        raise ValueError("The method is missing the 'weights' parameter.")
+    try:
+        enum_name, value_name = name.split(".")
+    except ValueError:
+        raise ValueError(f"Invalid weight name provided: '{name}'.")
+
+    base_module_name = ".".join(sys.modules[__name__].__name__.split(".")[:-1])
+    base_module = importlib.import_module(base_module_name)
+    model_modules = [base_module] + [
+        x[1] for x in inspect.getmembers(base_module, inspect.ismodule) if x[1].__file__.endswith("__init__.py")
+    ]
 
-    ann = signature(fn).parameters["weights"].annotation
     weights_enum = None
-    if isinstance(ann, type) and issubclass(ann, WeightsEnum):
-        weights_enum = ann
-    else:
-        # handle cases like Union[Optional, T]
-        # TODO: Replace ann.__args__ with typing.get_args(ann) after python >= 3.8
-        for t in ann.__args__:  # type: ignore[union-attr]
-            if isinstance(t, type) and issubclass(t, WeightsEnum):
-                # ensure the name exists. handles builders with multiple types of weights like in quantization
-                try:
-                    t.from_str(weight_name)
-                except ValueError:
-                    continue
-                weights_enum = t
-                break
+    for m in model_modules:
+        potential_class = m.__dict__.get(enum_name, None)
+        if potential_class is not None and issubclass(potential_class, WeightsEnum):
+            weights_enum = potential_class
+            break
 
     if weights_enum is None:
-        raise ValueError(
-            "The weight class for the specific method couldn't be retrieved. Make sure the typing info is correct."
-        )
+        raise ValueError(f"The weight enum '{enum_name}' for the specific method couldn't be retrieved.")
 
-    return weights_enum.from_str(weight_name)
+    return weights_enum.from_str(value_name)
diff --git a/torchvision/prototype/models/alexnet.py b/torchvision/prototype/models/alexnet.py
index b45ca1e7085..28b0fa60504 100644
--- a/torchvision/prototype/models/alexnet.py
+++ b/torchvision/prototype/models/alexnet.py
@@ -25,8 +25,8 @@ class AlexNet_Weights(WeightsEnum):
             "acc@1": 56.522,
             "acc@5": 79.066,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 def alexnet(weights: Optional[AlexNet_Weights] = None, progress: bool = True, **kwargs: Any) -> AlexNet:
diff --git a/torchvision/prototype/models/densenet.py b/torchvision/prototype/models/densenet.py
index e779a2cd239..b8abbdde947 100644
--- a/torchvision/prototype/models/densenet.py
+++ b/torchvision/prototype/models/densenet.py
@@ -80,8 +80,8 @@ class DenseNet121_Weights(WeightsEnum):
             "acc@1": 74.434,
             "acc@5": 91.972,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class DenseNet161_Weights(WeightsEnum):
@@ -93,8 +93,8 @@ class DenseNet161_Weights(WeightsEnum):
             "acc@1": 77.138,
             "acc@5": 93.560,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class DenseNet169_Weights(WeightsEnum):
@@ -106,8 +106,8 @@ class DenseNet169_Weights(WeightsEnum):
             "acc@1": 75.600,
             "acc@5": 92.806,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class DenseNet201_Weights(WeightsEnum):
@@ -119,8 +119,8 @@ class DenseNet201_Weights(WeightsEnum):
             "acc@1": 76.896,
             "acc@5": 93.370,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 def densenet121(weights: Optional[DenseNet121_Weights] = None, progress: bool = True, **kwargs: Any) -> DenseNet:
diff --git a/torchvision/prototype/models/detection/faster_rcnn.py b/torchvision/prototype/models/detection/faster_rcnn.py
index c83aaf222fb..1f5c6461698 100644
--- a/torchvision/prototype/models/detection/faster_rcnn.py
+++ b/torchvision/prototype/models/detection/faster_rcnn.py
@@ -45,8 +45,8 @@ class FasterRCNN_ResNet50_FPN_Weights(WeightsEnum):
             "recipe": "https://github.com/pytorch/vision/tree/main/references/detection#faster-r-cnn-resnet-50-fpn",
             "map": 37.0,
         },
-        default=True,
     )
+    default = Coco_V1
 
 
 class FasterRCNN_MobileNet_V3_Large_FPN_Weights(WeightsEnum):
@@ -58,8 +58,8 @@ class FasterRCNN_MobileNet_V3_Large_FPN_Weights(WeightsEnum):
             "recipe": "https://github.com/pytorch/vision/tree/main/references/detection#faster-r-cnn-mobilenetv3-large-fpn",
             "map": 32.8,
         },
-        default=True,
     )
+    default = Coco_V1
 
 
 class FasterRCNN_MobileNet_V3_Large_320_FPN_Weights(WeightsEnum):
@@ -71,8 +71,8 @@ class FasterRCNN_MobileNet_V3_Large_320_FPN_Weights(WeightsEnum):
             "recipe": "https://github.com/pytorch/vision/tree/main/references/detection#faster-r-cnn-mobilenetv3-large-320-fpn",
             "map": 22.8,
         },
-        default=True,
     )
+    default = Coco_V1
 
 
 def fasterrcnn_resnet50_fpn(
diff --git a/torchvision/prototype/models/detection/keypoint_rcnn.py b/torchvision/prototype/models/detection/keypoint_rcnn.py
index 85250ac2a33..a811999681d 100644
--- a/torchvision/prototype/models/detection/keypoint_rcnn.py
+++ b/torchvision/prototype/models/detection/keypoint_rcnn.py
@@ -35,7 +35,6 @@ class KeypointRCNN_ResNet50_FPN_Weights(WeightsEnum):
             "box_map": 50.6,
             "kp_map": 61.1,
         },
-        default=False,
     )
     Coco_V1 = Weights(
         url="https://download.pytorch.org/models/keypointrcnn_resnet50_fpn_coco-fc266e95.pth",
@@ -46,8 +45,8 @@ class KeypointRCNN_ResNet50_FPN_Weights(WeightsEnum):
             "box_map": 54.6,
             "kp_map": 65.0,
         },
-        default=True,
     )
+    default = Coco_V1
 
 
 def keypointrcnn_resnet50_fpn(
diff --git a/torchvision/prototype/models/detection/mask_rcnn.py b/torchvision/prototype/models/detection/mask_rcnn.py
index ea7ab4f5fc7..4eb285fac0d 100644
--- a/torchvision/prototype/models/detection/mask_rcnn.py
+++ b/torchvision/prototype/models/detection/mask_rcnn.py
@@ -34,8 +34,8 @@ class MaskRCNN_ResNet50_FPN_Weights(WeightsEnum):
             "box_map": 37.9,
             "mask_map": 34.6,
         },
-        default=True,
     )
+    default = Coco_V1
 
 
 def maskrcnn_resnet50_fpn(
diff --git a/torchvision/prototype/models/detection/retinanet.py b/torchvision/prototype/models/detection/retinanet.py
index d442c79d5b6..799bc21c379 100644
--- a/torchvision/prototype/models/detection/retinanet.py
+++ b/torchvision/prototype/models/detection/retinanet.py
@@ -34,8 +34,8 @@ class RetinaNet_ResNet50_FPN_Weights(WeightsEnum):
             "recipe": "https://github.com/pytorch/vision/tree/main/references/detection#retinanet",
             "map": 36.4,
         },
-        default=True,
     )
+    default = Coco_V1
 
 
 def retinanet_resnet50_fpn(
diff --git a/torchvision/prototype/models/detection/ssd.py b/torchvision/prototype/models/detection/ssd.py
index 37f5c2a6944..f57b47c00d6 100644
--- a/torchvision/prototype/models/detection/ssd.py
+++ b/torchvision/prototype/models/detection/ssd.py
@@ -33,8 +33,8 @@ class SSD300_VGG16_Weights(WeightsEnum):
             "recipe": "https://github.com/pytorch/vision/tree/main/references/detection#ssd300-vgg16",
             "map": 25.1,
         },
-        default=True,
     )
+    default = Coco_V1
 
 
 def ssd300_vgg16(
diff --git a/torchvision/prototype/models/detection/ssdlite.py b/torchvision/prototype/models/detection/ssdlite.py
index 309362f2f11..4a61c50101a 100644
--- a/torchvision/prototype/models/detection/ssdlite.py
+++ b/torchvision/prototype/models/detection/ssdlite.py
@@ -38,8 +38,8 @@ class SSDLite320_MobileNet_V3_Large_Weights(WeightsEnum):
             "recipe": "https://github.com/pytorch/vision/tree/main/references/detection#ssdlite320-mobilenetv3-large",
             "map": 21.3,
         },
-        default=True,
     )
+    default = Coco_V1
 
 
 def ssdlite320_mobilenet_v3_large(
diff --git a/torchvision/prototype/models/efficientnet.py b/torchvision/prototype/models/efficientnet.py
index 74ca6ccc71d..f4a69aac70c 100644
--- a/torchvision/prototype/models/efficientnet.py
+++ b/torchvision/prototype/models/efficientnet.py
@@ -79,8 +79,8 @@ class EfficientNet_B0_Weights(WeightsEnum):
             "acc@1": 77.692,
             "acc@5": 93.532,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class EfficientNet_B1_Weights(WeightsEnum):
@@ -93,8 +93,8 @@ class EfficientNet_B1_Weights(WeightsEnum):
             "acc@1": 78.642,
             "acc@5": 94.186,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class EfficientNet_B2_Weights(WeightsEnum):
@@ -107,8 +107,8 @@ class EfficientNet_B2_Weights(WeightsEnum):
             "acc@1": 80.608,
             "acc@5": 95.310,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class EfficientNet_B3_Weights(WeightsEnum):
@@ -121,8 +121,8 @@ class EfficientNet_B3_Weights(WeightsEnum):
             "acc@1": 82.008,
             "acc@5": 96.054,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class EfficientNet_B4_Weights(WeightsEnum):
@@ -135,8 +135,8 @@ class EfficientNet_B4_Weights(WeightsEnum):
             "acc@1": 83.384,
             "acc@5": 96.594,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class EfficientNet_B5_Weights(WeightsEnum):
@@ -149,8 +149,8 @@ class EfficientNet_B5_Weights(WeightsEnum):
             "acc@1": 83.444,
             "acc@5": 96.628,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class EfficientNet_B6_Weights(WeightsEnum):
@@ -163,8 +163,8 @@ class EfficientNet_B6_Weights(WeightsEnum):
             "acc@1": 84.008,
             "acc@5": 96.916,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class EfficientNet_B7_Weights(WeightsEnum):
@@ -177,8 +177,8 @@ class EfficientNet_B7_Weights(WeightsEnum):
             "acc@1": 84.122,
             "acc@5": 96.908,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 def efficientnet_b0(
diff --git a/torchvision/prototype/models/googlenet.py b/torchvision/prototype/models/googlenet.py
index 352c49d1a2e..f62c5a96e15 100644
--- a/torchvision/prototype/models/googlenet.py
+++ b/torchvision/prototype/models/googlenet.py
@@ -26,8 +26,8 @@ class GoogLeNet_Weights(WeightsEnum):
             "acc@1": 69.778,
             "acc@5": 89.530,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 def googlenet(weights: Optional[GoogLeNet_Weights] = None, progress: bool = True, **kwargs: Any) -> GoogLeNet:
diff --git a/torchvision/prototype/models/inception.py b/torchvision/prototype/models/inception.py
index 9837b1fc4a6..4814fa76c5c 100644
--- a/torchvision/prototype/models/inception.py
+++ b/torchvision/prototype/models/inception.py
@@ -25,8 +25,8 @@ class Inception_V3_Weights(WeightsEnum):
             "acc@1": 77.294,
             "acc@5": 93.450,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 def inception_v3(weights: Optional[Inception_V3_Weights] = None, progress: bool = True, **kwargs: Any) -> Inception3:
diff --git a/torchvision/prototype/models/mnasnet.py b/torchvision/prototype/models/mnasnet.py
index 73aaea0beca..554057a9ba1 100644
--- a/torchvision/prototype/models/mnasnet.py
+++ b/torchvision/prototype/models/mnasnet.py
@@ -40,8 +40,8 @@ class MNASNet0_5_Weights(WeightsEnum):
             "acc@1": 67.734,
             "acc@5": 87.490,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class MNASNet0_75_Weights(WeightsEnum):
@@ -58,8 +58,8 @@ class MNASNet1_0_Weights(WeightsEnum):
             "acc@1": 73.456,
             "acc@5": 91.510,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class MNASNet1_3_Weights(WeightsEnum):
diff --git a/torchvision/prototype/models/mobilenetv2.py b/torchvision/prototype/models/mobilenetv2.py
index 0c0f80d081a..64c7221da6d 100644
--- a/torchvision/prototype/models/mobilenetv2.py
+++ b/torchvision/prototype/models/mobilenetv2.py
@@ -25,8 +25,8 @@ class MobileNet_V2_Weights(WeightsEnum):
             "acc@1": 71.878,
             "acc@5": 90.286,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 def mobilenet_v2(weights: Optional[MobileNet_V2_Weights] = None, progress: bool = True, **kwargs: Any) -> MobileNetV2:
diff --git a/torchvision/prototype/models/mobilenetv3.py b/torchvision/prototype/models/mobilenetv3.py
index e014fb5acb2..a92c7667aab 100644
--- a/torchvision/prototype/models/mobilenetv3.py
+++ b/torchvision/prototype/models/mobilenetv3.py
@@ -54,7 +54,6 @@ class MobileNet_V3_Large_Weights(WeightsEnum):
             "acc@1": 74.042,
             "acc@5": 91.340,
         },
-        default=False,
     )
     ImageNet1K_V2 = Weights(
         url="https://download.pytorch.org/models/mobilenet_v3_large-5c1a4163.pth",
@@ -65,8 +64,8 @@ class MobileNet_V3_Large_Weights(WeightsEnum):
             "acc@1": 75.274,
             "acc@5": 92.566,
         },
-        default=True,
     )
+    default = ImageNet1K_V2
 
 
 class MobileNet_V3_Small_Weights(WeightsEnum):
@@ -79,8 +78,8 @@ class MobileNet_V3_Small_Weights(WeightsEnum):
             "acc@1": 67.668,
             "acc@5": 87.402,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 def mobilenet_v3_large(
diff --git a/torchvision/prototype/models/quantization/googlenet.py b/torchvision/prototype/models/quantization/googlenet.py
index 3d26fd7d607..dc3c875b79a 100644
--- a/torchvision/prototype/models/quantization/googlenet.py
+++ b/torchvision/prototype/models/quantization/googlenet.py
@@ -38,8 +38,8 @@ class GoogLeNet_QuantizedWeights(WeightsEnum):
             "acc@1": 69.826,
             "acc@5": 89.404,
         },
-        default=True,
     )
+    default = ImageNet1K_FBGEMM_V1
 
 
 def googlenet(
diff --git a/torchvision/prototype/models/quantization/inception.py b/torchvision/prototype/models/quantization/inception.py
index ff779076df6..d1d5d4ca8fe 100644
--- a/torchvision/prototype/models/quantization/inception.py
+++ b/torchvision/prototype/models/quantization/inception.py
@@ -37,8 +37,8 @@ class Inception_V3_QuantizedWeights(WeightsEnum):
             "acc@1": 77.176,
             "acc@5": 93.354,
         },
-        default=True,
     )
+    default = ImageNet1K_FBGEMM_V1
 
 
 def inception_v3(
diff --git a/torchvision/prototype/models/quantization/mobilenetv2.py b/torchvision/prototype/models/quantization/mobilenetv2.py
index c5afd731fad..81540f2f840 100644
--- a/torchvision/prototype/models/quantization/mobilenetv2.py
+++ b/torchvision/prototype/models/quantization/mobilenetv2.py
@@ -38,8 +38,8 @@ class MobileNet_V2_QuantizedWeights(WeightsEnum):
             "acc@1": 71.658,
             "acc@5": 90.150,
         },
-        default=True,
     )
+    default = ImageNet1K_QNNPACK_V1
 
 
 def mobilenet_v2(
diff --git a/torchvision/prototype/models/quantization/mobilenetv3.py b/torchvision/prototype/models/quantization/mobilenetv3.py
index a29e3f44697..9d29484c18f 100644
--- a/torchvision/prototype/models/quantization/mobilenetv3.py
+++ b/torchvision/prototype/models/quantization/mobilenetv3.py
@@ -71,8 +71,8 @@ class MobileNet_V3_Large_QuantizedWeights(WeightsEnum):
             "acc@1": 73.004,
             "acc@5": 90.858,
         },
-        default=True,
     )
+    default = ImageNet1K_QNNPACK_V1
 
 
 def mobilenet_v3_large(
diff --git a/torchvision/prototype/models/quantization/resnet.py b/torchvision/prototype/models/quantization/resnet.py
index 0de4eb5557b..c6bd530f393 100644
--- a/torchvision/prototype/models/quantization/resnet.py
+++ b/torchvision/prototype/models/quantization/resnet.py
@@ -73,8 +73,8 @@ class ResNet18_QuantizedWeights(WeightsEnum):
             "acc@1": 69.494,
             "acc@5": 88.882,
         },
-        default=True,
     )
+    default = ImageNet1K_FBGEMM_V1
 
 
 class ResNet50_QuantizedWeights(WeightsEnum):
@@ -87,7 +87,6 @@ class ResNet50_QuantizedWeights(WeightsEnum):
             "acc@1": 75.920,
             "acc@5": 92.814,
         },
-        default=False,
     )
     ImageNet1K_FBGEMM_V2 = Weights(
         url="https://download.pytorch.org/models/quantized/resnet50_fbgemm-23753f79.pth",
@@ -98,8 +97,8 @@ class ResNet50_QuantizedWeights(WeightsEnum):
             "acc@1": 80.282,
             "acc@5": 94.976,
         },
-        default=True,
     )
+    default = ImageNet1K_FBGEMM_V2
 
 
 class ResNeXt101_32X8D_QuantizedWeights(WeightsEnum):
@@ -112,7 +111,6 @@ class ResNeXt101_32X8D_QuantizedWeights(WeightsEnum):
             "acc@1": 78.986,
             "acc@5": 94.480,
         },
-        default=False,
     )
     ImageNet1K_FBGEMM_V2 = Weights(
         url="https://download.pytorch.org/models/quantized/resnext101_32x8_fbgemm-ee16d00c.pth",
@@ -123,8 +121,8 @@ class ResNeXt101_32X8D_QuantizedWeights(WeightsEnum):
             "acc@1": 82.574,
             "acc@5": 96.132,
         },
-        default=True,
     )
+    default = ImageNet1K_FBGEMM_V2
 
 
 def resnet18(
diff --git a/torchvision/prototype/models/quantization/shufflenetv2.py b/torchvision/prototype/models/quantization/shufflenetv2.py
index 6677983a1d9..111763f2614 100644
--- a/torchvision/prototype/models/quantization/shufflenetv2.py
+++ b/torchvision/prototype/models/quantization/shufflenetv2.py
@@ -69,8 +69,8 @@ class ShuffleNet_V2_X0_5_QuantizedWeights(WeightsEnum):
             "acc@1": 57.972,
             "acc@5": 79.780,
         },
-        default=True,
     )
+    default = ImageNet1K_FBGEMM_V1
 
 
 class ShuffleNet_V2_X1_0_QuantizedWeights(WeightsEnum):
@@ -83,8 +83,8 @@ class ShuffleNet_V2_X1_0_QuantizedWeights(WeightsEnum):
             "acc@1": 68.360,
             "acc@5": 87.582,
         },
-        default=True,
     )
+    default = ImageNet1K_FBGEMM_V1
 
 
 def shufflenet_v2_x0_5(
diff --git a/torchvision/prototype/models/regnet.py b/torchvision/prototype/models/regnet.py
index 1e12ae7bbd2..d810a0d1300 100644
--- a/torchvision/prototype/models/regnet.py
+++ b/torchvision/prototype/models/regnet.py
@@ -74,8 +74,8 @@ class RegNet_Y_400MF_Weights(WeightsEnum):
             "acc@1": 74.046,
             "acc@5": 91.716,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class RegNet_Y_800MF_Weights(WeightsEnum):
@@ -88,8 +88,8 @@ class RegNet_Y_800MF_Weights(WeightsEnum):
             "acc@1": 76.420,
             "acc@5": 93.136,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class RegNet_Y_1_6GF_Weights(WeightsEnum):
@@ -102,8 +102,8 @@ class RegNet_Y_1_6GF_Weights(WeightsEnum):
             "acc@1": 77.950,
             "acc@5": 93.966,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class RegNet_Y_3_2GF_Weights(WeightsEnum):
@@ -116,8 +116,8 @@ class RegNet_Y_3_2GF_Weights(WeightsEnum):
             "acc@1": 78.948,
             "acc@5": 94.576,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class RegNet_Y_8GF_Weights(WeightsEnum):
@@ -130,8 +130,8 @@ class RegNet_Y_8GF_Weights(WeightsEnum):
             "acc@1": 80.032,
             "acc@5": 95.048,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class RegNet_Y_16GF_Weights(WeightsEnum):
@@ -144,8 +144,8 @@ class RegNet_Y_16GF_Weights(WeightsEnum):
             "acc@1": 80.424,
             "acc@5": 95.240,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class RegNet_Y_32GF_Weights(WeightsEnum):
@@ -158,8 +158,8 @@ class RegNet_Y_32GF_Weights(WeightsEnum):
             "acc@1": 80.878,
             "acc@5": 95.340,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class RegNet_X_400MF_Weights(WeightsEnum):
@@ -172,8 +172,8 @@ class RegNet_X_400MF_Weights(WeightsEnum):
             "acc@1": 72.834,
             "acc@5": 90.950,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class RegNet_X_800MF_Weights(WeightsEnum):
@@ -186,8 +186,8 @@ class RegNet_X_800MF_Weights(WeightsEnum):
             "acc@1": 75.212,
             "acc@5": 92.348,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class RegNet_X_1_6GF_Weights(WeightsEnum):
@@ -200,8 +200,8 @@ class RegNet_X_1_6GF_Weights(WeightsEnum):
             "acc@1": 77.040,
             "acc@5": 93.440,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class RegNet_X_3_2GF_Weights(WeightsEnum):
@@ -214,8 +214,8 @@ class RegNet_X_3_2GF_Weights(WeightsEnum):
             "acc@1": 78.364,
             "acc@5": 93.992,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class RegNet_X_8GF_Weights(WeightsEnum):
@@ -228,8 +228,8 @@ class RegNet_X_8GF_Weights(WeightsEnum):
             "acc@1": 79.344,
             "acc@5": 94.686,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class RegNet_X_16GF_Weights(WeightsEnum):
@@ -242,8 +242,8 @@ class RegNet_X_16GF_Weights(WeightsEnum):
             "acc@1": 80.058,
             "acc@5": 94.944,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class RegNet_X_32GF_Weights(WeightsEnum):
@@ -256,8 +256,8 @@ class RegNet_X_32GF_Weights(WeightsEnum):
             "acc@1": 80.622,
             "acc@5": 95.248,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 def regnet_y_400mf(weights: Optional[RegNet_Y_400MF_Weights] = None, progress: bool = True, **kwargs: Any) -> RegNet:
diff --git a/torchvision/prototype/models/resnet.py b/torchvision/prototype/models/resnet.py
index e213864acbe..3c68f0a430c 100644
--- a/torchvision/prototype/models/resnet.py
+++ b/torchvision/prototype/models/resnet.py
@@ -64,8 +64,8 @@ class ResNet18_Weights(WeightsEnum):
             "acc@1": 69.758,
             "acc@5": 89.078,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class ResNet34_Weights(WeightsEnum):
@@ -78,8 +78,8 @@ class ResNet34_Weights(WeightsEnum):
             "acc@1": 73.314,
             "acc@5": 91.420,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class ResNet50_Weights(WeightsEnum):
@@ -92,7 +92,6 @@ class ResNet50_Weights(WeightsEnum):
             "acc@1": 76.130,
             "acc@5": 92.862,
         },
-        default=False,
     )
     ImageNet1K_V2 = Weights(
         url="https://download.pytorch.org/models/resnet50-f46c3f97.pth",
@@ -103,8 +102,8 @@ class ResNet50_Weights(WeightsEnum):
             "acc@1": 80.674,
             "acc@5": 95.166,
         },
-        default=True,
     )
+    default = ImageNet1K_V2
 
 
 class ResNet101_Weights(WeightsEnum):
@@ -117,7 +116,6 @@ class ResNet101_Weights(WeightsEnum):
             "acc@1": 77.374,
             "acc@5": 93.546,
         },
-        default=False,
     )
     ImageNet1K_V2 = Weights(
         url="https://download.pytorch.org/models/resnet101-cd907fc2.pth",
@@ -128,8 +126,8 @@ class ResNet101_Weights(WeightsEnum):
             "acc@1": 81.886,
             "acc@5": 95.780,
         },
-        default=True,
     )
+    default = ImageNet1K_V2
 
 
 class ResNet152_Weights(WeightsEnum):
@@ -142,7 +140,6 @@ class ResNet152_Weights(WeightsEnum):
             "acc@1": 78.312,
             "acc@5": 94.046,
         },
-        default=False,
     )
     ImageNet1K_V2 = Weights(
         url="https://download.pytorch.org/models/resnet152-f82ba261.pth",
@@ -153,8 +150,8 @@ class ResNet152_Weights(WeightsEnum):
             "acc@1": 82.284,
             "acc@5": 96.002,
         },
-        default=True,
     )
+    default = ImageNet1K_V2
 
 
 class ResNeXt50_32X4D_Weights(WeightsEnum):
@@ -167,7 +164,6 @@ class ResNeXt50_32X4D_Weights(WeightsEnum):
             "acc@1": 77.618,
             "acc@5": 93.698,
         },
-        default=False,
     )
     ImageNet1K_V2 = Weights(
         url="https://download.pytorch.org/models/resnext50_32x4d-1a0047aa.pth",
@@ -178,8 +174,8 @@ class ResNeXt50_32X4D_Weights(WeightsEnum):
             "acc@1": 81.198,
             "acc@5": 95.340,
         },
-        default=True,
     )
+    default = ImageNet1K_V2
 
 
 class ResNeXt101_32X8D_Weights(WeightsEnum):
@@ -192,7 +188,6 @@ class ResNeXt101_32X8D_Weights(WeightsEnum):
             "acc@1": 79.312,
             "acc@5": 94.526,
         },
-        default=False,
     )
     ImageNet1K_V2 = Weights(
         url="https://download.pytorch.org/models/resnext101_32x8d-110c445d.pth",
@@ -203,8 +198,8 @@ class ResNeXt101_32X8D_Weights(WeightsEnum):
             "acc@1": 82.834,
             "acc@5": 96.228,
         },
-        default=True,
     )
+    default = ImageNet1K_V2
 
 
 class Wide_ResNet50_2_Weights(WeightsEnum):
@@ -217,7 +212,6 @@ class Wide_ResNet50_2_Weights(WeightsEnum):
             "acc@1": 78.468,
             "acc@5": 94.086,
         },
-        default=False,
     )
     ImageNet1K_V2 = Weights(
         url="https://download.pytorch.org/models/wide_resnet50_2-9ba9bcbe.pth",
@@ -228,8 +222,8 @@ class Wide_ResNet50_2_Weights(WeightsEnum):
             "acc@1": 81.602,
             "acc@5": 95.758,
         },
-        default=True,
     )
+    default = ImageNet1K_V2
 
 
 class Wide_ResNet101_2_Weights(WeightsEnum):
@@ -242,7 +236,6 @@ class Wide_ResNet101_2_Weights(WeightsEnum):
             "acc@1": 78.848,
             "acc@5": 94.284,
         },
-        default=False,
     )
     ImageNet1K_V2 = Weights(
         url="https://download.pytorch.org/models/wide_resnet101_2-d733dc28.pth",
@@ -253,8 +246,8 @@ class Wide_ResNet101_2_Weights(WeightsEnum):
             "acc@1": 82.510,
             "acc@5": 96.020,
         },
-        default=True,
     )
+    default = ImageNet1K_V2
 
 
 def resnet18(weights: Optional[ResNet18_Weights] = None, progress: bool = True, **kwargs: Any) -> ResNet:
diff --git a/torchvision/prototype/models/segmentation/deeplabv3.py b/torchvision/prototype/models/segmentation/deeplabv3.py
index 638b771c333..30c90013c9b 100644
--- a/torchvision/prototype/models/segmentation/deeplabv3.py
+++ b/torchvision/prototype/models/segmentation/deeplabv3.py
@@ -40,8 +40,8 @@ class DeepLabV3_ResNet50_Weights(WeightsEnum):
             "mIoU": 66.4,
             "acc": 92.4,
         },
-        default=True,
     )
+    default = CocoWithVocLabels_V1
 
 
 class DeepLabV3_ResNet101_Weights(WeightsEnum):
@@ -54,8 +54,8 @@ class DeepLabV3_ResNet101_Weights(WeightsEnum):
             "mIoU": 67.4,
             "acc": 92.4,
         },
-        default=True,
     )
+    default = CocoWithVocLabels_V1
 
 
 class DeepLabV3_MobileNet_V3_Large_Weights(WeightsEnum):
@@ -68,8 +68,8 @@ class DeepLabV3_MobileNet_V3_Large_Weights(WeightsEnum):
             "mIoU": 60.3,
             "acc": 91.2,
         },
-        default=True,
     )
+    default = CocoWithVocLabels_V1
 
 
 def deeplabv3_resnet50(
diff --git a/torchvision/prototype/models/segmentation/fcn.py b/torchvision/prototype/models/segmentation/fcn.py
index 841e2ea95c5..42d15a0c3cf 100644
--- a/torchvision/prototype/models/segmentation/fcn.py
+++ b/torchvision/prototype/models/segmentation/fcn.py
@@ -30,8 +30,8 @@ class FCN_ResNet50_Weights(WeightsEnum):
             "mIoU": 60.5,
             "acc": 91.4,
         },
-        default=True,
     )
+    default = CocoWithVocLabels_V1
 
 
 class FCN_ResNet101_Weights(WeightsEnum):
@@ -44,8 +44,8 @@ class FCN_ResNet101_Weights(WeightsEnum):
             "mIoU": 63.7,
             "acc": 91.9,
         },
-        default=True,
     )
+    default = CocoWithVocLabels_V1
 
 
 def fcn_resnet50(
diff --git a/torchvision/prototype/models/segmentation/lraspp.py b/torchvision/prototype/models/segmentation/lraspp.py
index 9743e02fa16..f80e1079c87 100644
--- a/torchvision/prototype/models/segmentation/lraspp.py
+++ b/torchvision/prototype/models/segmentation/lraspp.py
@@ -25,8 +25,8 @@ class LRASPP_MobileNet_V3_Large_Weights(WeightsEnum):
             "mIoU": 57.9,
             "acc": 91.2,
         },
-        default=True,
     )
+    default = CocoWithVocLabels_V1
 
 
 def lraspp_mobilenet_v3_large(
diff --git a/torchvision/prototype/models/shufflenetv2.py b/torchvision/prototype/models/shufflenetv2.py
index 9fa98c44223..a8857c2996e 100644
--- a/torchvision/prototype/models/shufflenetv2.py
+++ b/torchvision/prototype/models/shufflenetv2.py
@@ -57,8 +57,8 @@ class ShuffleNet_V2_X0_5_Weights(WeightsEnum):
             "acc@1": 69.362,
             "acc@5": 88.316,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class ShuffleNet_V2_X1_0_Weights(WeightsEnum):
@@ -70,8 +70,8 @@ class ShuffleNet_V2_X1_0_Weights(WeightsEnum):
             "acc@1": 60.552,
             "acc@5": 81.746,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class ShuffleNet_V2_X1_5_Weights(WeightsEnum):
diff --git a/torchvision/prototype/models/squeezenet.py b/torchvision/prototype/models/squeezenet.py
index fdfaa01e8be..77c9a1629d4 100644
--- a/torchvision/prototype/models/squeezenet.py
+++ b/torchvision/prototype/models/squeezenet.py
@@ -30,8 +30,8 @@ class SqueezeNet1_0_Weights(WeightsEnum):
             "acc@1": 58.092,
             "acc@5": 80.420,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class SqueezeNet1_1_Weights(WeightsEnum):
@@ -43,8 +43,8 @@ class SqueezeNet1_1_Weights(WeightsEnum):
             "acc@1": 58.178,
             "acc@5": 80.624,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 def squeezenet1_0(weights: Optional[SqueezeNet1_0_Weights] = None, progress: bool = True, **kwargs: Any) -> SqueezeNet:
diff --git a/torchvision/prototype/models/vgg.py b/torchvision/prototype/models/vgg.py
index a357426693d..708608826e0 100644
--- a/torchvision/prototype/models/vgg.py
+++ b/torchvision/prototype/models/vgg.py
@@ -57,8 +57,8 @@ class VGG11_Weights(WeightsEnum):
             "acc@1": 69.020,
             "acc@5": 88.628,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class VGG11_BN_Weights(WeightsEnum):
@@ -70,8 +70,8 @@ class VGG11_BN_Weights(WeightsEnum):
             "acc@1": 70.370,
             "acc@5": 89.810,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class VGG13_Weights(WeightsEnum):
@@ -83,8 +83,8 @@ class VGG13_Weights(WeightsEnum):
             "acc@1": 69.928,
             "acc@5": 89.246,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class VGG13_BN_Weights(WeightsEnum):
@@ -96,8 +96,8 @@ class VGG13_BN_Weights(WeightsEnum):
             "acc@1": 71.586,
             "acc@5": 90.374,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class VGG16_Weights(WeightsEnum):
@@ -109,7 +109,6 @@ class VGG16_Weights(WeightsEnum):
             "acc@1": 71.592,
             "acc@5": 90.382,
         },
-        default=True,
     )
     # We port the features of a VGG16 backbone trained by amdegroot because unlike the one on TorchVision, it uses the
     # same input standardization method as the paper. Only the `features` weights have proper values, those on the
@@ -127,8 +126,8 @@ class VGG16_Weights(WeightsEnum):
             "acc@1": float("nan"),
             "acc@5": float("nan"),
         },
-        default=False,
     )
+    default = ImageNet1K_V1
 
 
 class VGG16_BN_Weights(WeightsEnum):
@@ -140,8 +139,8 @@ class VGG16_BN_Weights(WeightsEnum):
             "acc@1": 73.360,
             "acc@5": 91.516,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class VGG19_Weights(WeightsEnum):
@@ -153,8 +152,8 @@ class VGG19_Weights(WeightsEnum):
             "acc@1": 72.376,
             "acc@5": 90.876,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 class VGG19_BN_Weights(WeightsEnum):
@@ -166,8 +165,8 @@ class VGG19_BN_Weights(WeightsEnum):
             "acc@1": 74.218,
             "acc@5": 91.842,
         },
-        default=True,
     )
+    default = ImageNet1K_V1
 
 
 def vgg11(weights: Optional[VGG11_Weights] = None, progress: bool = True, **kwargs: Any) -> VGG:
diff --git a/torchvision/prototype/models/video/resnet.py b/torchvision/prototype/models/video/resnet.py
index c75f618a8b1..48c4293f0e1 100644
--- a/torchvision/prototype/models/video/resnet.py
+++ b/torchvision/prototype/models/video/resnet.py
@@ -68,8 +68,8 @@ class R3D_18_Weights(WeightsEnum):
             "acc@1": 52.75,
             "acc@5": 75.45,
         },
-        default=True,
     )
+    default = Kinetics400_V1
 
 
 class MC3_18_Weights(WeightsEnum):
@@ -81,8 +81,8 @@ class MC3_18_Weights(WeightsEnum):
             "acc@1": 53.90,
             "acc@5": 76.29,
         },
-        default=True,
     )
+    default = Kinetics400_V1
 
 
 class R2Plus1D_18_Weights(WeightsEnum):
@@ -94,8 +94,8 @@ class R2Plus1D_18_Weights(WeightsEnum):
             "acc@1": 57.50,
             "acc@5": 78.81,
         },
-        default=True,
     )
+    default = Kinetics400_V1
 
 
 def r3d_18(weights: Optional[R3D_18_Weights] = None, progress: bool = True, **kwargs: Any) -> VideoResNet: