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articles/applied-ai-services/form-recognizer/supervised-table-tags.md

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# Use table tags to train your custom template model
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>[!TIP]
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> * For an enhanced experience and advanced model quality, try the [Form Recognizer v3.0 Studio (preview)](https://formrecognizer.appliedai.azure.com/studio).
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> * The v3.0 Studio supports any model trained with v2.1 labeled data.
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> * You can refer to the API migration guide for detailed information about migrating from v2.1 to v3.0.
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> * *See* our [**REST API**](quickstarts/try-v3-rest-api.md) or [**C#**](quickstarts/try-v3-csharp-sdk.md), [**Java**](quickstarts/try-v3-java-sdk.md), [**JavaScript**](quickstarts/try-v3-javascript-sdk.md), or [Python](quickstarts/try-v3-python-sdk) SDK quickstarts to get started with the V3.0 preview.
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In this article, you'll learn how to train your custom template model with table tags (labels). Some scenarios require more complex labeling than simply aligning key-value pairs. Such scenarios include extracting information from forms with complex hierarchical structures or encountering items that not automatically detected and extracted by the service. In these cases, you can use table tags to train your custom template model.
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## When should I use table tags?

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