From b4dbc04e1a37efd85dd73f82e0c1ace6a9a11ba7 Mon Sep 17 00:00:00 2001
From: Kuan Wang <16862998+kuan-wang@users.noreply.github.com>
Date: Fri, 26 Nov 2021 22:59:59 -0500
Subject: [PATCH] Update MODEL_ZOO.md

minor typo: _features_blocks. --> _feature_blocks.
---
 MODEL_ZOO.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/MODEL_ZOO.md b/MODEL_ZOO.md
index 3b551a481..8d6dcdd13 100644
--- a/MODEL_ZOO.md
+++ b/MODEL_ZOO.md
@@ -30,7 +30,7 @@ VISSL is 100% compatible with TorchVision ResNet models. It's easy to use torchv
 
 ### Converting VISSL to Torchvision
 
-All the ResNe(X)t models in VISSL can be converted to Torchvision weights. This involves simply removing the `_features_blocks.` prefix from all the weights. VISSL provides a convenience script for this:
+All the ResNe(X)t models in VISSL can be converted to Torchvision weights. This involves simply removing the `_feature_blocks.` prefix from all the weights. VISSL provides a convenience script for this:
 
 ```bash
 python extra_scripts/convert_vissl_to_torchvision.py \