使用 Amazon SageMaker 輕鬆部署 Hugging Face 模型
Original: Deploy Hugging Face models easily with Amazon SageMaker
Hugging Face and Amazon Web Services (AWS) have entered into a deep collaboration aimed at simplifying the deployment process of machine…
Hugging Face 宣布與 AWS 深度整合，推出專屬的 SageMaker 深度學習容器（DLC）。開發者現在可以直接利用 SageMaker Python SDK，將 Hugging Face Hub 上的數萬個預訓練模型一鍵部署至託管的 SageMaker 端點。這項合作大幅簡化了 NLP 模型的正式生產環境部署流程，並兼顧了 AWS 的安全與彈性擴展優勢。
Hugging Face and Amazon Web Services (AWS) have entered into a deep collaboration aimed at simplifying the deployment process of machine learning models from development to production environments. Through the newly launched Hugging Face Deep Learning Containers (DLCs), developers can now easily, securely, and quickly deploy various Transformer models from the Hugging Face Hub using Amazon SageMaker.
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