Question-Answering
This repository contains an implementation of the question-answering system. The main goal of the project is to learn working with 🤗 transformers architecture T5 with SQuAD 2.0 dataset.
The QA system is built using:
- HuggingFace's BERT transformer with custom head, fine-tuned on SQuAD v2.0, using only possible questions.
Demo
Installation and running
- Clone the repository
git clone https://github.com/dipesg/Question-and-Answer.git
- Create and activate conda environment:
conda create -n venv python = 3.9 -y
conda activate venv
- Install Requirements:
pip install requirements.txt
- Run the app:
python app.py
Technologies Used
