Update README.md

README.md

@@ -146,6 +146,14 @@ model-index:
 
 This is a "large" versions of Conformer-CTC (around 120M parameters) trained on NeMo ASRSet with around 16000 hours of english speech. The model transcribes speech in lower case english alphabet along with spaces and apostrophes. 
 
+## Deployment in Production
+
+This model can be efficiently deployed with [NVIDIA Riva](https://developer.nvidia.com/riva) on premises or with cloud providers.
+Additionally with RIVA you get:
+* streaming speech recognition mode
+* ability to boost specific words (e.g. brand and product names)
+* Conformer checkpoints trained on proprietary data
+
 ## NVIDIA NeMo
 
 To train, fine-tune or play with the model you will need to install [NVIDIA NeMo](https://github.com/NVIDIA/NeMo). We recommend you install it after you've installed latest Pytorch version.
@@ -157,14 +165,6 @@ pip install nemo_toolkit['all']
 
 The model is available for use in the NeMo toolkit [3], and can be used as a pre-trained checkpoint for inference or for fine-tuning on another dataset.
 
-## Deployment in Production
-
-This model can be efficiently deployed with [NVIDIA Riva](https://developer.nvidia.com/riva) on premises or with cloud providers.
-Additionally with RIVA you get:
-* streaming speech recognition mode
-* ability to boost specific words (e.g. brand and product names)
-* Conformer checkpoints trained on proprietary data
-
 ### Automatically instantiate the model
 
 ```python