Update README.md

README.md

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----
-license: mit
----
+---
+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()}')