README.md

---
license: mit
library_name: pytorch
tags:
- random-number-generator
- wgan
- math
- onnx
pipeline_tag: text-generation
widget:
- text: Generate 10
- text: 9+10
- text: '50'
---

<div align="center">

#  Number-E (GEN-E)
### WORLD'S MOST FAST AND HIGH QUALITY AI RANDOM NUMBER GENERATOR (i think and hope)

![Untitled design (2)](https://cdn-uploads.huggingface.co/production/uploads/69690d699317fc17af72961f/zwPSorisH0EhurDr1K-sh.png)

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Framework: PyTorch](https://img.shields.io/badge/Framework-PyTorch-orange.svg)](https://pytorch.org/)
[![Model: WGAN](https://img.shields.io/badge/Model-WGAN-blueviolet.svg)]()


</div>

---

## Introduction

**Number-E** is a random number generator created in my spare time for fun with a collection of features normal random number 
generators dont have

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## 🔑 Features

| Feature | Description |
| :--- | :--- |
| **Understands Math** | If you we're to Input 1+1 it solves it (2) and outputs 2 numbers
| **Super optimized** | On (T4, HD 8970) Two tested gpu's (HD 8970M) gets a few milliseconds..idk its instant ON CPU (Laptop from 2013) while T4 is a ungodly number
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![download](https://cdn-uploads.huggingface.co/production/uploads/69690d699317fc17af72961f/WakkBh60DxEykGeHxXEyN.png)