From 71cbd6cc2bf086bc75689bfc622cf971e1981617 Mon Sep 17 00:00:00 2001
From: Huw Prosser <16668357+huwprosser@users.noreply.github.com>
Date: Fri, 3 Feb 2023 11:26:22 +0000
Subject: [PATCH] README typo fix.

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 450754e..368fd59 100644
--- a/README.md
+++ b/README.md
@@ -253,7 +253,7 @@ of the model increases multiplicatively. On enterprise-grade hardware, this is n
 exceptionally wide buses that can accommodate this bandwidth. I cannot afford enterprise hardware, though, so I am stuck.
 
 I want to mention here
-that I think Tortoise could do be a **lot** better. The three major components of Tortoise are either vanilla Transformer Encoder stacks
+that I think Tortoise could be a **lot** better. The three major components of Tortoise are either vanilla Transformer Encoder stacks
 or Decoder stacks. Both of these types of models have a rich experimental history with scaling in the NLP realm. I see no reason
 to believe that the same is not true of TTS.