---
license: apache-2.0
datasets:
- uoft-cs/cifar10
- openslr/librispeech_asr
- udayl/UCI_HAR
language:
- en
metrics:
- bertscore
- accuracy
library_name: adapter-transformers
tags:
- code
- medical
---
# UANN Model

## Model Description

This is the Universal Adaptive Neural Network (UANN) designed for multi-modal AI agents. The model incorporates a Mixture of Experts (MoE) architecture.

## Usage

```python
import torch
from models.moe_model import MoEModel

# Initialize model
model = MoEModel(input_dim=512, num_experts=3)

# Dummy inputs for testing
vision_input = torch.randn(1, 3, 32, 32)
audio_input = torch.randn(1, 100, 40)
sensor_input = torch.randn(1, 10)

# Forward pass
output = model(vision_input, audio_input, sensor_input)
print(output)