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https://github.com/tirendazacademy/multilingual-ner-app

Building a multilingual NER app with HuggingFace, Gradio and Comet
https://github.com/tirendazacademy/multilingual-ner-app

a ai app comet-ml data-science deep-learning gradio huggingface huggingface-transformers machine-learning multilingual named-entity-recognition nlp roberta-model token-classification

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Building a multilingual NER app with HuggingFace, Gradio and Comet

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# Multilingual NER App based on RoBERTa with Transformers & Comet ML & Gradio

[![](https://img.shields.io/badge/Python-blue?style=plastic&logo=python&logoColor=white)]()
[![](https://img.shields.io/badge/HuggingFace-F8DE22?style=plastic&logo=huggingface&logoColor=white)]()
[![](https://img.shields.io/badge/Transformers-D71313?style=plastic&logo=transformers&logoColor=white)]()
[![](https://img.shields.io/badge/CometML-0002A1?style=plastic&logo=cometml&logoColor=white)]()
[![](https://img.shields.io/badge/Gradio-A31ACB?style=plastic&logo=gradio&logoColor=white)]()

![](https://github.com/TirendazAcademy/Multilingual-NER-App/blob/main/Images/NER-Roadmap.png)

This project aims to show how to build [a multilingual NER app](https://huggingface.co/spaces/Tirendaz/Multilingual-NER). To do this, I used [Transformers](https://huggingface.co/docs/transformers/index) for fine-tuning a RoBERTa-based model, [Gradio](https://www.gradio.app/docs/interface) for building the text classification app and [Comet ML](https://www.comet.com/site/products/llmops/) for monitoring the app.

You can review this app on [my HuggingFace space](https://huggingface.co/spaces/Tirendaz/Multilingual-NER).

# Text Classification App

![](https://github.com/TirendazAcademy/Multilingual-NER-App/blob/main/Images/Gradio-NER-App.gif)

# Gradio App in Comet ML Dashboard

![](https://github.com/TirendazAcademy/Multilingual-NER-App/blob/main/Images/Gradio-App-on-Comet.gif)

📌 Don't forget to give a star if you like this repo. ✨

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