---
license: mit
language:
- en
tags:
- arithmetic
- regression
- mathematics
---
# Axiom Model

## Description
The Axiom Model is a beta version designed to perform basic arithmetic operations. It leverages a neural network to predict the result of arithmetic expressions based on synthetic data.

## Model Details
- **Type**: Neural Network for Arithmetic Operations
- **Version**: Beta
- **Creator**: Maw Studio (aka Maw Lab)
- **File**: [axiom_model.pth](./axiom_model.pth)

## Usage
This model can be used to evaluate basic arithmetic operations. It has been trained on a large dataset to provide accurate results for addition, subtraction, multiplication, and division.

### Example
```python
import torch

# Load the model
model = torch.load('path_to_model/axiom_model.pth')
model.eval()

# Example input
input_tensor = torch.tensor([[1.0, 2.0, 0]])  # Example: 1 + 2
output = model(input_tensor)

print(f'Result: {output.item()}')