| title: Setswana News Classification | |
| emoji: 📰 | |
| colorFrom: purple | |
| colorTo: red | |
| sdk: gradio | |
| app_file: app.py | |
| pinned: false | |
| sdk_version: 5.4.0 | |
| # 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) |