This project implements an Extractive Question Answering (QA) system using Hugging Face Transformers. The goal is to accurately extract relevant information from text data in response to user queries. The project showcases proficiency in natural language processing and machine learning, leveraging cutting-edge models from Hugging Face Transformers.
- Utilizes state-of-the-art language models for accurate question answering.
- Demonstrates advanced natural language processing techniques.
- Provides a practical implementation for real-world applications.
- Python 3.x
- Install dependencies:
pip install -r requirements.txt
- Clone the repository:
git clone https://github.com/your-username/extractive-qa-transformers.git - Navigate to the project directory:
cd extractive-qa-transformers - Run the QA system:
python main.py