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---
title: Setswana News Classification
emoji: 📰
colorFrom: purple
colorTo: red
sdk: gradio
app_file: app.py
pinned: false
---
# Turkish News Classification
## Dataset
Dataset used for this application: [https://huggingface.co/datasets/interpress_news_category_tr_lite](https://huggingface.co/datasets/interpress_news_category_tr_lite)
## Model
For this classification, the [https://huggingface.co/serdarakyol/interpress-turkish-news-classification](https://huggingface.co/serdarakyol/interpress-turkish-news-classification) model was used.
Model accuracy on train data and validation data is **%97**.
## Contributions
Thanks to [@serdarakyol](https://huggingface.co/serdarakyol/) & [@yavuzkomecoglu](https://huggingface.co/yavuzkomecoglu) for contributes.
## More Info
For more information about our AI Projects: [https://www.kodiks.com/ai_solutions.html](https://www.kodiks.com/ai_solutions.html) |