使用 Hugging Face Transformers 與 Amazon SageMaker 部署 GPT-J 6B 進行推論
Original: Deploy GPT-J 6B for inference using Hugging Face Transformers and Amazon SageMaker
With the rise of open-source large language models, deploying these models in cloud environments in a secure, stable, and scalable manner…
本文介紹如何將 EleutherAI 的 GPT-J 6B 模型部署至 Amazon SageMaker。透過 Hugging Face 專為 SageMaker 設計的深度學習容器（DLC），開發者無需繁瑣設定即可完成託管。內容涵蓋環境準備、模型載入、端點建立及推論測試，適合需要在 AWS 雲端部署開源大模型的開發者。
With the rise of open-source large language models, deploying these models in cloud environments in a secure, stable, and scalable manner has become a critical challenge for developers. This article provides a detailed walkthrough of how to combine the Hugging Face Transformers library with Amazon SageMaker to deploy the 6-billion-parameter GPT-J 6B model as an online inference service.
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