nvidia
/

stt_hy_fastconformer_hybrid_large_pc

@@ -182,7 +182,7 @@ The model is trained on composite dataset comprising of 296.19 hours of Armenian
       - Labeling Method: by Human
-  -[ArmenianGrqaserAudioBooks](https://openslr.org/154/) [21.96h]
       - Data Collection Method: Automated
@@ -253,8 +253,6 @@ The model is trained on composite dataset comprising of 296.19 hours of Armenian
 NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications.
 When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.
-<!-- For more detailed information on ethical considerations for this model, please see the [Model Card++]https://docs.google.com/document/d/1QmEC7cMISdSrkbAvWPpghopskZHlPpcN-remmGgjA6s/edit?usp=sharing) Explainability, Bias, Safety & Security, and Privacy Subcards. -->
 Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).
 ## Explainability
@@ -313,8 +311,7 @@ These are greedy WER numbers without external LM. More details on evaluation can
 - Model outputs text in Armenian
 - Output text requires Inverse Text Normalization
 - Model is noise sensitive
--
-Model is not applicable for life-critical applications.
 ### Access Reactions:
@@ -329,7 +326,6 @@ 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 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).
 Check out [Riva live demo](https://developer.nvidia.com/riva#demos).

       - Labeling Method: by Human
+  - [ArmenianGrqaserAudioBooks](https://openslr.org/154/) [21.96h]
       - Data Collection Method: Automated
 NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications.
 When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.
 Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).
 ## Explainability
 - Model outputs text in Armenian
 - Output text requires Inverse Text Normalization
 - Model is noise sensitive
+- Model is not applicable for life-critical applications.
 ### Access Reactions:
 * 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 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).
 Check out [Riva live demo](https://developer.nvidia.com/riva#demos).