alchemylanguage-gif.md

copyright	lastupdated
years 2015, 2017	2017-12-11

{:shortdesc: .shortdesc} {:new_window: target="_blank"} {:tip: .tip} {:pre: .pre} {:codeblock: .codeblock} {:screen: .screen} {:javascript: .ph data-hd-programlang='javascript'} {:java: .ph data-hd-programlang='java'} {:python: .ph data-hd-programlang='python'} {:swift: .ph data-hd-programlang='swift'}

This documentation is for {{site.data.keyword.knowledgestudiofull}} on {{site.data.keyword.cloud}}. To see the documentation for the previous version of {{site.data.keyword.knowledgestudioshort}} on {{site.data.keyword.IBM_notm}} Marketplace, click this link {: new_window}. {: tip}

How to deploy a model

{: #alchemylanguage-gif}

The graphic illustrates how to deploy a machine-learning annotator for use by {{site.data.keyword.alchemylanguagefull}}. {: shortdesc}

After the model is available, you can pass the model ID and API key as parameters to the {{site.data.keyword.IBM_notm}} {{site.data.keyword.alchemylanguageshort}} REST API endpoints. The code uses your trained model to extract information from text.

Related tasks:

Deploying a machine-learning annotator to {{site.data.keyword.IBM_notm}} {{site.data.keyword.alchemylanguageshort}}