Update README.md

README.md

@@ -29,7 +29,7 @@ This model supersedes the [nemotron-page-elements](https://build.nvidia.com/nvid
 
 This model is ready for commercial/non-commercial use. 
 
-We are excited to announce the open sourcing of this commercial model. For users interested in deploying this model in production environments, it is also available via the model API in NVIDIA Inference Microservices (NIM) at [nemotron-page-elements-v2](https://build.nvidia.com/nvidia/nemotron-page-elements-v2).
+We are excited to announce the open sourcing of this commercial model. For users interested in deploying this model in production environments, it is also available via the model API in NVIDIA Inference Microservices (NIM) at [nemoretriever-page-elements-v2](https://build.nvidia.com/nvidia/nemoretriever-page-elements-v2).
 
 ### License/Terms of use
 
@@ -63,7 +63,7 @@ The **Nemotron Page Elements v3** model  is designed for automating extraction o
 
 - YOLOX paper: https://arxiv.org/abs/2107.08430
 - YOLOX repo: https://github.com/Megvii-BaseDetection/YOLOX
-- Previous version of the Page Element model: https://build.nvidia.com/nvidia/nemotron-page-elements-v2
+- Previous version of the Page Element model: https://build.nvidia.com/nvidia/nemoretriever-page-elements-v2
 - Technical blog: https://developer.nvidia.com/blog/approaches-to-pdf-data-extraction-for-information-retrieval/
 
 ### Model Architecture