Update README.md

README.md

@@ -8,7 +8,9 @@ tags:
 
 Multi-**S**cale **N**eural **A**udio **C**odec (SNAC) compressess audio into discrete codes at a low bitrate.
 
-See GitHub repository: https://github.com/hubertsiuzdak/snac/
+👉 This model was primarily trained on music data, and its recommended use case is music (and SFX) generation. See below for other pretrained models.
+
+🔗 GitHub repository: https://github.com/hubertsiuzdak/snac/
 
 ## Overview
 
@@ -18,6 +20,16 @@ covering a broader time span.
 This model compresses 44 kHz audio into discrete codes at a 2.6 kbps bitrate. It uses 4 RVQ levels with token rates of 14, 29, 57, and
 115 Hz.
 
+## Pretrained models
+
+Currently, all models support only single audio channel (mono).
+
+| Model                                                                       | Bitrate   | Sample Rate | Params | Recommended use case     | 
+|-----------------------------------------------------------------------------|-----------|-------------|--------|--------------------------|
+| [hubertsiuzdak/snac_24khz](https://huggingface.co/hubertsiuzdak/snac_24khz) | 0.98 kbps | 24 kHz      | 19.8 M | 🗣️ Speech               |  
+| [hubertsiuzdak/snac_32khz](https://huggingface.co/hubertsiuzdak/snac_32khz) | 1.9 kbps  | 32 kHz      | 54.5 M | 🎸 Music / Sound Effects |
+| hubertsiuzdak/snac_44khz (this model)                                       | 2.6 kbps  | 44 kHz      | 54.5 M | 🎸 Music / Sound Effects |
+
 ## Usage
 
 Install it using: