From bbbb97e4634460a056be70829607b73412a53e80 Mon Sep 17 00:00:00 2001
From: pytorchbot <pytorchbot@pytorch.com>
Date: Mon, 13 Jan 2025 11:34:48 +0000
Subject: [PATCH] 2025-01-13 nightly release
 (06a925c32b49fd0455e265097fa7ca623cec4154)

---
 docs/source/models.rst | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/docs/source/models.rst b/docs/source/models.rst
index 53e8d87609e..d0096aaf854 100644
--- a/docs/source/models.rst
+++ b/docs/source/models.rst
@@ -172,7 +172,11 @@ Most pre-trained models can be accessed directly via PyTorch Hub without having
     model = torch.hub.load("pytorch/vision", "resnet50", weights="IMAGENET1K_V2")
 
     # Option 2: passing weights param as enum
-    weights = torch.hub.load("pytorch/vision", "get_weight", weights="ResNet50_Weights.IMAGENET1K_V2")
+    weights = torch.hub.load(
+        "pytorch/vision",
+        "get_weight",
+        weights="ResNet50_Weights.IMAGENET1K_V2",
+    )
     model = torch.hub.load("pytorch/vision", "resnet50", weights=weights)
 
 You can also retrieve all the available weights of a specific model via PyTorch Hub by doing: