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put the sponsor button on readme
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tecoholic committed Jun 2, 2022
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NER Annotator for SpaCy allows you to create training data for creating a custome NER Model with custom tags. It can either be access as a web application directly from [https://tecoholic.github.io/ner-annotator/](https://tecoholic.github.io/ner-annotator/) or can be installed in Linux systems as a desktop application.

🚀🚀 **You can now sponsor this project for specific features your need.**

<iframe src="/~https://github.com/sponsors/tecoholic/button" title="Sponsor tecoholic" height="35" width="116" style="border: 0;"></iframe>

## Desktop application

An experimental version of the annotator is also available for
An experimental version of the annotator is also available for

- Linux as a [Debian Package or an AppImage](/~https://github.com/tecoholic/ner-annotator/releases)
- Windows as a [x64 MSI Installer](/~https://github.com/tecoholic/ner-annotator/releases/download/v1.0.2/NER.Annotator_1.0.2_x64.msi)
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