Changes to references and Riva deployment section

README.md

@@ -106,8 +106,6 @@ model-index:
     - name: Test WER P&C
       type: wer
       value: 10.41
-metrics:
-- wer
 ---
 
 # NVIDIA FastConformer-Hybrid Large (de)
@@ -229,12 +227,14 @@ 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 is here](https://huggingface.co/models?other=Riva).  
+The CTC decoding version of this model is supported by Riva, the [list of supported models is here](https://huggingface.co/models?other=Riva).  
 Check out [Riva live demo](https://developer.nvidia.com/riva#demos). 
 
 ## References
 [1] [Conformer: Convolution-augmented Transformer for Speech Recognition](https://arxiv.org/abs/2005.08100)
+
 [2] [Google Sentencepiece Tokenizer](https://github.com/google/sentencepiece)
+
 [3] [NVIDIA NeMo Toolkit](https://github.com/NVIDIA/NeMo)
 
 ## Licence