From 5b59f9449db43f1722014e4a187b3da7106d8a5a Mon Sep 17 00:00:00 2001
From: Lukas Blecher <55287601+lukas-blecher@users.noreply.github.com>
Date: Thu, 28 Oct 2021 22:07:39 +0200
Subject: [PATCH] reference new weights location #49

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

diff --git a/README.md b/README.md
index 90734a7..55b202d 100644
--- a/README.md
+++ b/README.md
@@ -21,7 +21,7 @@ In order to render the math in many different fonts we use  XeLaTeX, generate a
 ## Using the model
 1. Download/Clone this repository
 2. For now you need to install the Python dependencies specified in `requirements.txt` (look [above](#Requirements))
-3. Download the `weights.pth` (and optionally `image_resizer.pth`) file from my [Google Drive](https://drive.google.com/drive/folders/1cgmyiaT5uwQJY2pB0ngebuTcK5ivKXIb) and place it in the `checkpoints` directory
+3. Download the `weights.pth` (and optionally `image_resizer.pth`) file from the [Releases](https://github.com/lukas-blecher/LaTeX-OCR/releases/latest)->Assets section and place it in the `checkpoints` directory
 
 Thanks to [@katie-lim](https://github.com/katie-lim), you can use a nice user interface as a quick way to get the model prediction. Just call the GUI with `python gui.py`. From here you can take a screenshot and the predicted latex code is rendered using [MathJax](https://www.mathjax.org/) and copied to your clipboard.