- Getting Started
- Framework Components
- ML Packages
- Pipelines
- Data Manager
- OCR Services
- Document Understanding deployed in Automation Suite
- Install and Use
- First Run Experience
- Deploy UiPathDocumentOCR
- Deploy an Out-of-the-box ML Package
- ML Packages Offline Installation
- Use Data Manager
- Use the Framework
- Document Understanding deployed in AI Center standalone
- Deep Learning
- Licensing
- References
- UiPath.Abbyy.Activities
- UiPath.AbbyyEmbedded.Activities
- UiPath.DocumentUnderstanding.ML.Activities
- UiPath.DocumentUnderstanding.OCR.LocalServer.Activities
- UiPath.IntelligentOCR.Activities
- UiPath.OCR.Activities
- UiPath.OCR.Contracts
- UiPath.DocumentProcessing.Contracts
- UiPath.OmniPage.Activities
- UiPath.PDF.Activities
Deploy an Out-of-the-box ML Package
This page describes how to deploy an out-of-the-box Document Understanding ML Package. For demonstration purposes, we are going to use the Invoices ML Package as an example.
For online installation, the Invoices model is already included in the Out of the box packages section. Go to ML Packages > Out of the box packages > UiPath Document Understanding > Invoices, and click Submit.
For offline installation, please upload the Invoices ML Package as a Zip file. To download the models, contact your Account Manager, CSM, or Support. You will receive a download link per package.
Choose Json input type and the corresponding Python language.
Click Create.
Go to the ML Skills tab from the left sidebar of AI Center and create a new ML Skill. This can take up to 30 minutes.
Once the ML Skill is created, double-click the ML Skill and go to Modify current deployment.
Switch the toggle on to make the ML Skill public. You may need to wait for a few minutes and refresh the page.
Once the ML Skill is ready, copy the URL, which is the endpoint of the Invoices ML Package for later use.
Congrats! You have successfully deployed the Invoices ML Model on AI Center.
