Update README.md

README.md

@@ -149,14 +149,15 @@ It is a "large" versions of Conformer-CTC (around 120M parameters) model.
 
 ## NVIDIA Riva: Deployment
 
-For the best real-time accuracy, latency, and throughput, deploy the model with [NVIDIA Riva](https://developer.nvidia.com/riva), an accelerated speech AI SDK deployable on-prem, in all clouds, multi-cloud, hybrid, at the edge, and embedded. 
+If you like this and other models from NVIDIA (i.e., CTC-based Conformers) check out [NVIDIA Riva](https://developer.nvidia.com/riva), an accelerated speech AI SDK deployable on-prem, in all clouds, multi-cloud, hybrid, on edge, and embedded. This model, as well as other RNNT-based models are currently not supported by Riva. You can find the list of models supported by Riva [here](https://docs.nvidia.com/deeplearning/riva/user-guide/docs/reference/models/index.html). 
 
 Additionally, Riva provides: 
+
 * World-class out-of-the-box accuracy for the most common languages with model checkpoints trained on proprietary data with hundreds of thousands of GPU-compute hours 
 * Best in class accuracy via customization with run-time word boosting (e.g., brand and product names), acoustic model training, language model training, and inverse text normalization customizations 
 * Streaming speech recognition, Kubernetes compatible scaling, and Enterprise-grade support 
 
-[Check out Riva live demo.](https://developer.nvidia.com/riva#demos)  
+Check out [Riva live demo](https://developer.nvidia.com/riva#demos). 
 
 ## NVIDIA NeMo: Training