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Copy file name to clipboardExpand all lines: docs/machine-learning/install/sql-pretrained-models-install.md
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@@ -3,7 +3,7 @@ title: Install pre-trained models
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description: Add pre-trained models for sentiment analysis and image featurization to SQL Server Machine Learning Services (R or Python) or SQL Server R Services.
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ms.prod: sql
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ms.technology: machine-learning-services
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ms.date: 07/30/2019
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ms.date: 04/12/2022
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ms.topic: how-to
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author: WilliamDAssafMSFT
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ms.author: wiassaf
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External scripts must be enabled and SQL Server LaunchPad service must be running. Installation instructions provide the steps for enabling and verifying these capabilities.
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Download and install the latest cumulative update for your version of SQL Server. See the [Latest updates for Microsoft SQL Server](../../database-engine/install-windows/latest-updates-for-microsoft-sql-server.md).
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::: moniker range=">=sql-server-2017"
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[MicrosoftML R package](../r/ref-r-microsoftml.md) or [microsoftml Python package](../python/ref-py-microsoftml.md) contain the pre-trained models.
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## Download the installation script
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Click[https://aka.ms/mlm4sql](https://aka.ms/mlm4sql) to download the file **Install-MLModels.ps1**.
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Visit[https://aka.ms/mlm4sql](https://aka.ms/mlm4sql) to download the file **Install-MLModels.ps1**.
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## Execute with elevated privileges
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1. Start PowerShell. On the task bar, right-click the PowerShell program icon and select **Run as administrator**.
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2. Enter a fully-qualified path to the installation script file and include the instance name. Assuming the Downloads folder and a default instance, the command might look like this:
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2. The recommended execution policy during installation is "RemoteSigned". For more information on setting the PowerShell execution policy, see [Set-ExecutionPolicy](/powershell/module/microsoft.powershell.security/set-executionpolicy). For example:
3. Enter a fully-qualified path to the installation script file and include the instance name. Assuming the Downloads folder and a default instance, the command might look like this:
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