| --- |
| 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()}') |
