Welcome to the Query Mind repository! This project aims to test the performance of a pre-trained Question-Answering (QnA) model for a proposed application called Query Mind. The testing will be conducted on Google Colab, an online platform for running machine learning experiments.

To get started with this repository, you will need to have a Google account to access Google Colab. Once you have access to Google Colab, you can fork or clone this repository to your own Google Drive.

The Query Mind application aims to provide quick and accurate answers to user queries by leveraging the power of NLP and AI. The pre-trained QnA model will serve as the backbone of the application, processing user queries and returning the most relevant answers.

This repository contains the testing script for the pre-trained QnA model. The script will evaluate the model's performance on a variety of questions and measure its accuracy in providing the correct answers. The testing results will be used to fine-tune the model and improve its overall performance.

If you are interested in contributing to this project, feel free to submit a pull request or create an issue for discussion. We welcome all contributions that aim to improve the performance of the pre-trained QnA model.