Revamp docs for Quantized MobileNetV3 (#6016)

* added note

* quantize = True higlighted in the note.

* Keep "Large" in docstring
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

docs/source/models/mobilenetv3_quant.rst

+Quantized MobileNet V3
+======================
+
+.. currentmodule:: torchvision.models.quantization
+
+The Quantized MobileNet V3 model is based on the `Searching for MobileNetV3 <https://arxiv.org/abs/1905.02244>`__ paper.
+
+
+Model builders
+--------------
+
+The following model builders can be used to instantiate a quantized MobileNetV3
+model, with or without pre-trained weights. All the model builders internally
+rely on the ``torchvision.models.quantization.mobilenetv3.QuantizableMobileNetV3``
+base class. Please refer to the `source code
+<https://github.com/pytorch/vision/blob/main/torchvision/models/quantization/mobilenetv3.py>`_
+for more details about this class.
+
+.. autosummary::
+    :toctree: generated/
+    :template: function.rst
+
+    mobilenet_v3_large

docs/source/models_new.rst

@@ -149,6 +149,7 @@ pre-trained weights:
    models/googlenet_quant
    models/inception_quant
    models/mobilenetv2_quant
+   models/mobilenetv3_quant
    models/resnet_quant
 
 |

torchvision/models/quantization/mobilenetv3.py

@@ -194,18 +194,33 @@ def mobilenet_v3_large(
     **kwargs: Any,
 ) -> QuantizableMobileNetV3:
     """
-    Constructs a MobileNetV3 Large architecture from
-    `"Searching for MobileNetV3" <https://arxiv.org/abs/1905.02244>`_.
+    MobileNetV3 (Large) model from
+    `Searching for MobileNetV3 <https://arxiv.org/abs/1905.02244>`_.
 
-    Note that quantize = True returns a quantized model with 8 bit
-    weights. Quantized models only support inference and run on CPUs.
-    GPU inference is not yet supported
+    .. note::
+        Note that ``quantize = True`` returns a quantized model with 8 bit
+        weights. Quantized models only support inference and run on CPUs.
+        GPU inference is not yet supported
 
     Args:
-        weights (MobileNet_V3_Large_QuantizedWeights or MobileNet_V3_Large_Weights, optional): The pretrained
-            weights for the model
-        progress (bool): If True, displays a progress bar of the download to stderr
-        quantize (bool): If True, returns a quantized model, else returns a float model
+        weights (:class:`~torchvision.models.quantization.MobileNet_V3_Large_QuantizedWeights` or :class:`~torchvision.models.MobileNet_V3_Large_Weights`, optional): The
+            pretrained weights for the model. See
+            :class:`~torchvision.models.quantization.MobileNet_V3_Large_QuantizedWeights` below for
+            more details, and possible values. By default, no pre-trained
+            weights are used.
+        progress (bool): If True, displays a progress bar of the
+            download to stderr. Default is True.
+        quantize (bool): If True, return a quantized version of the model. Default is False.
+        **kwargs: parameters passed to the ``torchvision.models.quantization.MobileNet_V3_Large_QuantizedWeights``
+            base class. Please refer to the `source code
+            <https://github.com/pytorch/vision/blob/main/torchvision/models/quantization/mobilenetv3.py>`_
+            for more details about this class.
+
+    .. autoclass:: torchvision.models.quantization.MobileNet_V3_Large_QuantizedWeights
+        :members:
+    .. autoclass:: torchvision.models.MobileNet_V3_Large_Weights
+        :members:
+        :noindex:
     """
     weights = (MobileNet_V3_Large_QuantizedWeights if quantize else MobileNet_V3_Large_Weights).verify(weights)