Merge pull request #210790 from shohei1029/patch-5

Fix a broken link to the triton model files

Author: prmerger-automator[bot]

articles/machine-learning/how-to-deploy-with-triton.md

@@ -43,7 +43,7 @@ In this article, you will learn how to deploy Triton and a model to a managed on
 
 [!INCLUDE [clone repo & set defaults](../../includes/machine-learning-cli-prepare.md)]
 
-NVIDIA Triton Inference Server requires a specific model repository structure, where there is a directory for each model and subdirectories for the model version. The contents of each model version subdirectory is determined by the type of the model and the requirements of the backend that supports the model. To see all the model repository structure [https://github.com/triton-inference-server/server/blob/main/docs/model_repository.md#model-files](https://github.com/triton-inference-server/server/blob/main/docs/model_repository.md#model-files)
+NVIDIA Triton Inference Server requires a specific model repository structure, where there is a directory for each model and subdirectories for the model version. The contents of each model version subdirectory is determined by the type of the model and the requirements of the backend that supports the model. To see all the model repository structure [https://github.com/triton-inference-server/server/blob/main/docs/user_guide/model_repository.md#model-files](https://github.com/triton-inference-server/server/blob/main/docs/user_guide/model_repository.md#model-files)
 
 The information in this document is based on using a model stored in ONNX format, so the directory structure of the model repository is `<model-repository>/<model-name>/1/model.onnx`. Specifically, this model performs image identification.