metadata

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

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)