Model card: link the GitHub repo

README.md

@@ -20,7 +20,7 @@ CallCleaner removes background noise (wind, rain, vehicles, other animals) from
 animal vocalizations. It is a 19M-parameter waveform-to-waveform model that needs no detector,
 text prompt or GPU, and runs about 90× faster than real time on a laptop CPU.
 
-[Project page](https://callcleaner.github.io) · Paper (arXiv, link coming) · Code (GitHub, link coming)
+[Project page](https://callcleaner.github.io) · Paper (arXiv, link coming) · [Code (GitHub)](https://github.com/morrisalp/CallCleaner)
 
 ## How it was made
 
@@ -66,7 +66,7 @@ sf.write("clean.wav", clean, 16000)
 ```
 
 For long recordings, process overlapping chunks (e.g. 60 s with a 1 s cross-fade); the command-line
-script in the code repository does this, and handles folders and other sample rates.
+script in the [code repository](https://github.com/morrisalp/CallCleaner) does this, and handles folders and other sample rates.
 
 ## Limitations