- Release Notes
- Before you begin
- Getting started
- Installing AI Center
- Migration and upgrade
- Projects
- Datasets
- Data Labeling
- ML packages
- About ML packages
- Managing ML packages
- ML packages offline installation
- Out of the box packages
- Pipelines
- ML Skills
- ML Logs
- Document UnderstandingTM in AI Center
- AI Center API
- How to
- Licensing
- Basic Troubleshooting Guide

AI Center User Guide
ML packages offline installation
linkIf you are using an offline installation of AI Center, follow the instructions in this page to install ML Packages.
List of ML packages
linkCategory | Model name | Version in AI Center 2022.10 | UiPath version | Metadata | Offline bundle needed |
---|---|---|---|---|---|
UiPath Language Analysis | Custom Named Entity | 9 | 22.6 | Here | No |
Multilingual Text Classification | 4 | 22.6 | Here | No | |
Light Text Classification | 4 | 22.6 | Here | No | |
Open Source Packages | TextSummarization | 1 | N/A | Here | No |
TPOTAutoMLClassification | 1 | N/A | Here | No | |
SentimentAnalysis | 1 | N/A | Here | No | |
QuestionAnswering | 1 | N/A | Here | No | |
EnglishTextClassification | 2 | N/A | Here | No | |
Task Mining | TMAnalyzerModel | 1 | 1.0.21 | Here | No |
In order to use ML Packages, you must first upload the packages in UiPath® AI Center. To do so, follow the steps from Upload model to AI Center. Some models, like Document Understanding, need to be installed. If you plan on using these models, make sure to install them first by following the procedure from Install the offline bundle.
When using a Python 3.6 model, make sure that you have the right bundles installed.
For Document UnderstandingTM ML Packages offline installation, please check this page.
Upload model to AI Center
linkTo install out of the box packages in an offline environment, follow the steps below.
.zip
file which
is uploaded directly as a Custom Package in AI Center. To download the models, contact your
Account Manager, CSM, or Support to receive a download link per package.
-
Access Out of the Box Packages at tenant level. To add a new ML Package,
click the Create New button.
Note:
In order to access the page, make sure that you have Read permissions. The Create new button is only visible if you have Create permissions as well.
- Go to the ML Logs page. The ML packages uploaded and validated from the public tenant are displayed here. Click Create New to upload a new model.
-
Upload the ML Package
zip
and metadatajson
files separately.
- Click Submit.
After you upload the model, wait a few minutes until validation is successful. After validation is successful, refresh the grid manually. You can now go to any project in the Out of the box packages page and you can find the newly uploaded ML Package.
Once the ML package is uploaded, the ML Logs page is displayed.
Install required bundle
linkBefore installing the bundle make sure it is not already there. If that's not the case or if you are unsure you can proceed to the procedure, otherwise you just need to follow upload model documentation.
-
For Windows machines, download the bundle directly through the bundle link. For Linux
machines having access to the Internet, download the needed bundle by following the below
command:
wget -O ~/<bundle-name.tar.gz> 'bundle-link'
wget -O ~/<bundle-name.tar.gz> 'bundle-link' -
Copy the following bundle to the
/uipath/tmp
folder on the main machine of the cluster (where the install took place):scp ~/<bundle-name.tar.gz> <username>@<node dns>:/uipath/tmp/
scp ~/<bundle-name.tar.gz> <username>@<node dns>:/uipath/tmp/ -
Connect to this main machine and load the bundle:
./configureUiPathAS.sh registry upload --optional-offline-bundle "/uipath/tmp/du.tar.gz" --offline-tmp-folder "/uipath/tmp"
./configureUiPathAS.sh registry upload --optional-offline-bundle "/uipath/tmp/du.tar.gz" --offline-tmp-folder "/uipath/tmp"