We use an encoder-only transformer architecture that is well-suited for molecular property prediction tasks. Unlike decoder-based or encoder-decoder models designed for generative or sequence ...

Traffic flow prediction is critical for Intelligent Transportation Systems to alleviate congestion and optimize traffic management. The existing basic Encoder-Decoder Transformer model for multi-step ...

Our approach leverages knowledge distillation with Vision Transformer (ViT) as the image encoder to capture complex visual features, the model benefits from knowledge distillation, transferring ...

System Info import os import numpy as np import torch import torch.nn as nn from transformers import AutoConfig, AutoProcessor, Gemma3nForConditionalGeneration # Wrapper for the Vision Encoder class ...