---
language: en
tags:
- qna
- question-answer
datasets:
- Kaludi/data-eurekaQA
---

# EurekaQA

EurekaQA is an AI Question Answering model that uses advanced machine learning algorithms to analyze text data and automatically answer questions based on the information contained within. EurekaQA is an extractive model, meaning it selects the relevant information from a given text document to present as the answer to the question. This model can be used in a variety of applications, including customer service, virtual assistants, and information retrieval systems.

### Gradio

Tis model supports a [Gradio](https://github.com/gradio-app/gradio) Web UI to run the csgo-weapon-classification model:
[![Open In HF Spaces](https://camo.githubusercontent.com/00380c35e60d6b04be65d3d94a58332be5cc93779f630bcdfc18ab9a3a7d3388/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f25463025394625413425393725323048756767696e67253230466163652d5370616365732d626c7565)](https://huggingface.co/spaces/Kaludi/EurekaQA)

## Validation Metrics

- Loss: 0.523