For older transformer built with normal Kraft paper ... the oil time constant and three new constants to characterize the oil flow. Fig. 2 Block diagram of IEC differential equation model for hot spot ...

This newly released open-source model employs a hybrid design, combining Transformer components with the Mamba2 State-Space Model (SSM) architecture. Standard Transformers, first detailed in the ...

It is designed to classify clipart images into 126 domain categories using the SiglipForImageClassification architecture The Transformers repository provides a comprehensive implementation of the ...

Model2Vec is a technique to turn any sentence transformer into a really small static model, reducing model size by a factor up to 50 and making the models up to 500 times faster, with a small drop in ...

The Time-Series Transformer AI FX Model forecasts cashflow and FX exposure with more than 90% accuracy, helping businesses reduce FX-related fees SINGAPORE--(BUSINESS WIRE)--Ant International has ...

This study aims to combine the specific problem-solving capabilities of GP with the generalization strengths of pretrained Transformer models. Specifically, we propose a pretrained model guided GP ...

In this study, we propose a mixed convolutional neural network (CNN)–transformer model that achieves state-of-the-art performance on datasets collected from real-world environments. First, we use ...