Update on_device_README.md

https://github.com/fairinternal/seamless_communication/pull/23

docs/m4t/on_device_README.md

@@ -4,10 +4,10 @@ Apart from SeamlessM4T-LARGE (2.3B) and SeamlessM4T-MEDIUM (1.2B) models, we are
 This folder contains an example to run an exported small model covering most tasks (ASR/S2TT/S2ST). The model could be executed on popular mobile devices with Pytorch Mobile (https://pytorch.org/mobile/home/).
 
 ## Overview
-| Model   | Num Params | Disk Size | Supported Tasks         | Supported Languages|
-|---------|----------------------|-------------|------------|-------------------------|
-| [UnitY-Small](https://huggingface.co/facebook/seamless-m4t-unity-small/resolve/main/unity_on_device.ptl) | 281M | 862MB        | S2ST, S2TT, ASR |eng, fra, hin, por, spa|
-| [UnitY-Small-S2T](https://huggingface.co/facebook/seamless-m4t-unity-small-s2t/resolve/main/unity_on_device_s2t.ptl) | 235M | 637MB        | S2TT, ASR    |eng, fra,hin,  por, spa|
+| Model   | Checkpoint | Num Params | Disk Size | Supported Tasks         | Supported Languages|
+|---------|------------|----------|-------------|------------|-------------------------|
+| UnitY-Small|[Model card](https://huggingface.co/facebook/seamless-m4t-unity-small) - [checkpoint](https://huggingface.co/facebook/seamless-m4t-unity-small/resolve/main/unity_on_device.ptl) | 281M | 862MB        | S2ST, S2TT, ASR |eng, fra, hin, por, spa|
+| UnitY-Small-S2T |[Model card](https://huggingface.co/facebook/seamless-m4t-unity-small-s2t) - [checkpoint](https://huggingface.co/facebook/seamless-m4t-unity-small-s2t/resolve/main/unity_on_device_s2t.ptl) | 235M | 637MB        | S2TT, ASR    |eng, fra,hin,  por, spa|
 
 UnitY-Small-S2T is a pruned version of UnitY-Small without 2nd pass unit decoding.