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.
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.
1import torch
2
3# Load the model
4model = torch.load('path_to_model/axiom_model.pth')
5model.eval()
6
7# Example input
8input_tensor = torch.tensor([[1.0, 2.0, 0]]) # Example: 1 + 2
9output = model(input_tensor)
10
11print(f'Result: {output.item()}')
