Hugging Face BlogNov 30, 2021, 12:00 AM

使用 Optimum 在 Graphcore IPU 上快速上手 Hugging Face Transformers

Original: Getting Started with Hugging Face Transformers for IPUs with Optimum

This blog post introduces the fruits of a collaboration between Hugging Face and hardware chip design company Graphcore, showcasing how to…

Hugging Face 與 Graphcore 合作推出 Optimum 整合方案,讓開發者能輕鬆在 IPU(智慧處理單元)上運行 Transformers 模型。透過專屬的 IPUTrainer,開發者只需修改極少程式碼,即可將現有的 PyTorch 訓練流程轉移至 IPU,大幅提升特定 AI 任務的運算效率。

This blog post introduces the fruits of a collaboration between Hugging Face and hardware chip design company Graphcore, showcasing how to use Hugging Face's Optimum toolkit to efficiently run and train Transformer models on Graphcore's IPU (Intelligence Processing Unit).

Full summary

Free shows the 3-line summary; Pro unlocks the full deep summary (~300 words) so you never have to click through.

See Pro plans →

Want the original English / full article?

Read on Hugging Face Blog →

Summaries are AI-generated; the original article is authoritative.