uoft-cs/cifar10
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How to use dnnsdunca/UANN with Adapters:
from adapters import AutoAdapterModel
model = AutoAdapterModel.from_pretrained("undefined")
model.load_adapter("dnnsdunca/UANN", set_active=True)This is the Universal Adaptive Neural Network (UANN) designed for multi-modal AI agents. The model incorporates a Mixture of Experts (MoE) architecture.
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)