This project utilizes the Gemma language model for summarizing news headlines. It combines free webscout search and the Hugging Face library to achieve this task.
This repository contains code for summarizing news headlines using Gemma, a language model designed for natural language processing tasks. The project aims to provide a concise summary of news articles to aid in quick understanding and information retrieval.
- Utilizes Gemma language model for summarization
- Integrates with free webscout search for obtaining news headlines
- Uses Hugging Face library for NLP-related tasks
To set up the project environment, follow these steps:
- Clone this repository to your local machine.
To use this project for summarizing news headlines, follow these steps:
- Run the provided scripts or notebooks to fetch news headlines and generate summaries.
- Customize the code according to your specific requirements or use cases.
- Explore the provided notebooks for examples and usage demonstrations.