added reference to Riva Canary NIM, fixed typo

README.md

@@ -498,7 +498,7 @@ BLEU score on [mExpresso](https://huggingface.co/facebook/seamless-expressive#me
 
 ## Model Fairness Evaluation
 
-As outlined in the paper "Towards Measuring Fairness in AI: the Casual Conversations Dataset", we assessed the canary-1.1b model for fairness. The model was evaluated on the CausalConversations-v1 dataset, and the results are reported as follows:
+As outlined in the paper "Towards Measuring Fairness in AI: the Casual Conversations Dataset", we assessed the Canary-1B model for fairness. The model was evaluated on the CausalConversations-v1 dataset, and the results are reported as follows:
 
 ### Gender Bias:
 
@@ -525,8 +525,7 @@ Additionally, Riva provides:
 * Best in class accuracy with run-time word boosting (e.g., brand and product names) and customization of acoustic model, language model, and inverse text normalization 
 * Streaming speech recognition, Kubernetes compatible scaling, and enterprise-grade support 
 
-Although this model isn’t supported yet by Riva, the [list of supported models](https://huggingface.co/models?other=Riva) is here.  
-Check out [Riva live demo](https://developer.nvidia.com/riva#demos). 
+Canary is available as a NIM endpoint via Riva. Try the model yourself here: [https://build.nvidia.com/nvidia/canary-1b-asr](https://build.nvidia.com/nvidia/canary-1b-asr). 
 
 
 ## References