From 5676b039ad1c358d8b6541a8fdbc85cbe2c0e8af Mon Sep 17 00:00:00 2001
From: PENG Bo <33809201+BlinkDL@users.noreply.github.com>
Date: Mon, 20 Jun 2022 17:57:47 +0800
Subject: [PATCH] Update README.md

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

diff --git a/README.md b/README.md
index 0a33935..088e06c 100644
--- a/README.md
+++ b/README.md
@@ -31,7 +31,7 @@ All of the trained models will be open-source. Inference is very fast (only matr
 
 Check https://github.com/BlinkDL/RWKV-v2-RNN-Pile for L24-D1024 and L12-D768 models trained on the Pile (and the latest code). It's very fast on CPU (the default mode).
 
-Read the inference code in https://github.com/BlinkDL/RWKV-v2-RNN-Pile/blob/main/src/model.py and try using the final hidden state（.xx .aa .bb) as a faithful sentence embedding for other tasks.
+Read the inference code in https://github.com/BlinkDL/RWKV-v2-RNN-Pile/blob/main/src/model.py and try using the final hidden state（.xx .aa .bb) as a faithful sentence embedding for other tasks (probably you shall begin with .xx and .aa/.bb (.aa divided by .bb)).
 
 See the release here for a 27M params model on enwik8 with 0.72 BPC(dev). Run run.py in https://github.com/BlinkDL/RWKV-LM/tree/main/RWKV-v2-RNN.