使用 Hugging Face Inference Endpoints 輕鬆部署大型語言模型 (LLM)
Original: Deploy LLMs with Hugging Face Inference Endpoints
This official Hugging Face blog post introduces how to use their hosted service "Inference Endpoints" to deploy large language models…
Hugging Face 介紹了其託管服務 Inference Endpoints，旨在簡化大型語言模型（LLM）的部署流程。開發者只需在 Hugging Face Hub 選擇模型，即可一鍵部署至 AWS 或 Azure 的安全 GPU 環境。該服務整合了 Text Generation Inference (TGI) 技術，支援動態批處理與張量並行，大幅提升推理效率並降低成本。
This official Hugging Face blog post introduces how to use their hosted service "Inference Endpoints" to deploy large language models (LLMs). With the rapid rise of open-source LLMs (such as LLaMA, Falcon, StarCoder, and others), efficiently, securely, and cost-effectively deploying these massive models to production environments has become a primary challenge for developers.
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