From bfa7526f3e8067620f094080abbd98be337474b3 Mon Sep 17 00:00:00 2001
From: Phil Wang <lucidrains@gmail.com>
Date: Sat, 18 Jun 2022 13:50:41 -0700
Subject: [PATCH] piano samples

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

diff --git a/README.md b/README.md
index e6f4ee8..7f849b4 100644
--- a/README.md
+++ b/README.md
@@ -4,6 +4,8 @@
 
 Implementation of <a href="https://arxiv.org/abs/2202.07765">Perceiver AR</a>, Deepmind's new long-context attention network based on Perceiver architecture, in Pytorch.
 
+<a href="https://storage.googleapis.com/perceiver-ar/index.html">Generated piano samples</a>
+
 I am building this out of popular demand, not because I believe in the architecture. As someone else puts it succinctly, this is equivalent to an encoder / decoder transformer architecture where the encoder has 0 layers (and the decoder cross attention is restricted to 1 layer)
 
 However, the experimental results they provided are still worthwhile and I'll build it out so students and researchers alike can explore along this avenue.