Resultado de búsqueda
Transformer. An O-core transformer consisting of two coils of copper wire wrapped around a magnetic core. In electrical engineering, a transformer is a passive component that transfers electrical energy from one electrical circuit to another circuit, or multiple circuits. A varying current in any coil of the transformer produces a varying ...
Working Principle of a Transformer. The transformer works on the principle of Faraday’s law of electromagnetic induction and mutual induction. There are usually two coils – primary coil and secondary coil – on the transformer core. The core laminations are joined in the form of strips. The two coils have high mutual inductance.
27 de jun. de 2018 · The Transformer outperforms the Google Neural Machine Translation model in specific tasks. The biggest benefit, however, comes from how The Transformer lends itself to parallelization. It is in fact Google Cloud’s recommendation to use The Transformer as a reference model to use their Cloud TPU offering.
State-of-the-art Machine Learning for PyTorch, TensorFlow, and JAX. 🤗 Transformers provides APIs and tools to easily download and train state-of-the-art pretrained models. Using pretrained models can reduce your compute costs, carbon footprint, and save you the time and resources required to train a model from scratch.
Transformer models can also perform tasks on several modalities combined, such as table question answering, optical character recognition, information extraction from scanned documents, video classification, and visual question answering.
5 de abr. de 2024 · Transformer Basics Example No1. A voltage transformer has 1500 turns of wire on its primary coil and 500 turns of wire for its secondary coil. What will be the turns ratio (TR) of the transformer. This ratio of 3:1 (3-to-1) simply means that there are three primary windings for every one secondary winding.
25 de mar. de 2022 · Transformer models apply an evolving set of mathematical techniques, called attention or self-attention, to detect subtle ways even distant data elements in a series influence and depend on each other. First described in a 2017 paper from Google, transformers are among the newest and one of the most powerful classes of models invented to date.
