sync with pr-3239 (#3295)

Author: vladimir-dudnik

models/intel/index.md

@@ -243,12 +243,6 @@ The table [Intel's Pre-Trained Models Device Support](./device_support.md) summa
 
 The models can be downloaded via [Model Downloader](../../tools/model_tools/README.md).
 
-> **TIP**: You also can download and profile Intel® pretrained models inside the OpenVINO™ [Deep Learning Workbench](@ref workbench_docs_Workbench_DG_Introduction) (DL Workbench).
-> [DL Workbench](@ref workbench_docs_Workbench_DG_Introduction) is a platform built upon OpenVINO™ and provides a web-based graphical environment that enables you to optimize, fine-tune, analyze, visualize, and compare
-> performance of deep learning models on various Intel® architecture
-> configurations. In the DL Workbench, you can use most of OpenVINO™ toolkit components.
-> <br>
-> Proceed to an [easy installation from Docker](@ref workbench_docs_Workbench_DG_Run_Locally) to get started.
 
 ## Object Detection Models
 

tools/accuracy_checker/README.md

@@ -33,13 +33,6 @@ The Accuracy Checker is an extensible, flexible and configurable Deep Learning a
 
 ## Installation
 
-> **TIP**: You also can work with the Accuracy Checker inside the OpenVINO™ [Deep Learning Workbench](@ref workbench_docs_Workbench_DG_Introduction) (DL Workbench).
-> [DL Workbench](@ref workbench_docs_Workbench_DG_Introduction) is a platform built upon OpenVINO™ and provides a web-based graphical environment that enables you to optimize, fine-tune, analyze, visualize, and compare
-> performance of deep learning models on various Intel® architecture
-> configurations. In the DL Workbench, you can use most of OpenVINO™ toolkit components.
-> <br>
-> Proceed to an [easy installation from Docker](@ref workbench_docs_Workbench_DG_Run_Locally) to get started.
-
 ### Prerequisites
 
 Install prerequisites first:
@@ -111,6 +104,7 @@ python setup.py install_core
 
 When previous version of the tool is already installed in the environment, in some cases, it can broke the new installation.
 If you get a directory/file not found error, try manually removing the previous tool version from your environment or install the tool using following command in Accuracy Checker directory instead of setup.py install:
+
 ```bash
 pip install --upgrade --force-reinstall .
 ```
@@ -120,6 +114,7 @@ pip install --upgrade --force-reinstall .
 Accuracy Checker tool has an entry point for running in CLI, however, the majority of popular code editors or integrated development environments (IDEs) expect scripts as the starting point of application.
 Sometimes it can be useful to run the tool as a script for debugging or enabling new models.
 To use Accuracy Checker inside the IDE, you need to create a script in accuracy_checker root directory, for example, `<open_model_zoo>/tools/accuracy_checker/main.py`, with the following code:
+
 ```python
 from openvino.tools.accuracy_checker.main import main