Hugging Face 推出 Optimum:專為大規模 Transformer 模型打造的硬體加速與優化工具包
Original: Introducing Optimum: The Optimization Toolkit for Transformers at Scale
Hugging Face has officially launched a new open-source toolkit called "Optimum" — an optimization and hardware acceleration library…
Hugging Face 宣布推出全新開源專案 Optimum,旨在簡化 Transformer 模型在特定硬體上的優化流程。透過與 Intel、Graphcore 等硬體夥伴合作,Optimum 提供模型量化、剪枝與圖優化等工具,讓開發者能輕鬆在各式加速器上實現最大化的生產線部署效率。
Hugging Face has officially launched a new open-source toolkit called "Optimum" — an optimization and hardware acceleration library designed specifically for large-scale Transformer models. As Transformer models have exploded in adoption across natural language processing (NLP) and computer vision, one of the primary challenges developers face is efficiently deploying these massive models to real-world production environments and extracting maximum performance across diverse hardware platforms. Optimum was born to address exactly this pain point: it serves as an extension of Hugging Face's `transformers` library, acting as a bridge between top-level models and underlying hardware accelerators.
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