Update README.md

README.md

@@ -72,6 +72,20 @@ The model transcribes text in Armenian with all Armenian punctuation and capital
 
 This model is ready for commercial and non-commercial use.
 
+## License
+
+License to use this model is covered by the [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/). By downloading the public and release version of the model, you accept the terms and conditions of the [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/) license.
+
+## References
+
+[1] [Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition](https://arxiv.org/abs/2305.05084)
+
+[2] [Google Sentencepiece Tokenizer](https://github.com/google/sentencepiece)
+
+[3] [NVIDIA NeMo Toolkit](https://github.com/NVIDIA/NeMo)
+
+[4] [HuggingFace ASR Leaderboard](https://huggingface.co/spaces/hf-audio/open_asr_leaderboard)
+
 <!-- ## NVIDIA NeMo: Training
 
 To train, fine-tune or play with the model you will need to install [NVIDIA NeMo](https://github.com/NVIDIA/NeMo).
@@ -314,18 +328,3 @@ Additionally, Riva provides:
 * 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).
 Check out [Riva live demo](https://developer.nvidia.com/riva#demos).
-
-## License
-
-License to use this model is covered by the [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/). By downloading the public and release version of the model, you accept the terms and conditions of the [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/) license.
-
-## References
-
-[1] [Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition](https://arxiv.org/abs/2305.05084)
-
-[2] [Google Sentencepiece Tokenizer](https://github.com/google/sentencepiece)
-
-[3] [NVIDIA NeMo Toolkit](https://github.com/NVIDIA/NeMo)
-
-[4] [HuggingFace ASR Leaderboard](https://huggingface.co/spaces/hf-audio/open_asr_leaderboard)
-