10Academy-chortB/LLM_Fine-Tunning_Amharic

# LLM_Fine-Tunning_Amharic ## About This GitHub repository contains notebooks that use the Amharic news category classification dataset to fine-tune various models for a text classification task. The fine-tuned model classifies a given Amharic news article into one of the following six categories: * Local News * Entertainment * Sports * Business * International News * Politics ## How to Use #### Clone the Repository First, clone this repository to your local machine: bash ``` git clone github.com cd LLM_Fine-Tunning_Amharic ``` #### Download the Model from Hugging Face Next, obtain the pre-trained model from Hugging Face: bash ``` git clone Yohanes213/Amharic_news_cla… ``` #### Run the Frontend To launch the frontend, execute the following command: bash ``` npm run ``` ## Reference * Andersland, Mike. "Llama-2-Amharic: LLMs for Low Resource Languages." Medium, Dec. 2023 Medium * "amharic-news-category-classification"(paperswithcode.com)