- Release Notes
- Before you begin
- Getting started
- Installing AI Center
- Migration and upgrade
- Projects
- Datasets
- Data Labeling
- ML packages
- About ML packages
- Building ML packages
- Managing ML packages
- ML packages offline installation
- Out of the box packages
- Pipelines
- ML Skills
- ML Logs
- Document UnderstandingTM in AI Center
- How to
- Licensing
- Basic Troubleshooting Guide
AI Center User Guide
ML packages offline installation
If you are using an offline installation of AI Center, follow the instructions in this page to install ML Packages.
Category | 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.
To 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.
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.