metadata

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

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

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()}')