Introduction

This document describes how to install and verify Transformers on Kunpeng servers.

Transformers provides a unified API and thousands of pre-trained models, covering the entire lifecycle from model loading, training, and fine-tuning to inference and deployment. It natively supports three mainstream deep learning frameworks: PyTorch, TensorFlow, and JAX. Deploying Transformers on Kunpeng servers not only enables deep hardware-based acceleration for core operators such as multi-head attention through the Ascend Compute Architecture for Neural Networks (CANN) ecosystem, but also allows seamless package porting by leveraging the AArch64 precompilation optimization of the open-source community.