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--- |
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license: mit |
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language: |
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- en |
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tags: |
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- arithmetic |
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- regression |
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- mathematics |
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--- |
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# Axiom Model |
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## Description |
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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. |
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## Model Details |
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- **Type**: Neural Network for Arithmetic Operations |
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- **Version**: Beta |
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- **Creator**: Maw Studio (aka Maw Lab) |
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- **File**: [axiom_model.pth](./axiom_model.pth) |
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## Usage |
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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. |
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### Example |
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```python |
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import torch |
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# Load the model |
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model = torch.load('path_to_model/axiom_model.pth') |
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model.eval() |
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# Example input |
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input_tensor = torch.tensor([[1.0, 2.0, 0]]) # Example: 1 + 2 |
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output = model(input_tensor) |
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print(f'Result: {output.item()}') |
