Hugging Face Inference Endpoints 入門指南：輕鬆部署生產級 AI 模型
Original: Getting Started with Hugging Face Inference Endpoints
Hugging Face Inference Endpoints is a fully managed service designed for developers and enterprises, built to solve the pain points of…
Hugging Face Inference Endpoints 是一項完全託管的服務，旨在簡化機器學習模型的部署流程。用戶只需點擊幾下，即可將 Hugging Face Hub 上的任何模型部署到 AWS 或 Azure 等雲端基礎設施。該服務支援 GPU/CPU 彈性縮放、自訂容器與私有連線（VPC），大幅降低了開發者與企業維護生產級推論 API 的門檻與成本。
Hugging Face Inference Endpoints is a fully managed service designed for developers and enterprises, built to solve the pain points of deploying machine learning models from training to production. Traditionally, deploying large language models (LLMs) or Transformer models required tedious infrastructure setup, GPU resource provisioning, and custom API development. With Inference Endpoints, users can directly deploy any of the hundreds of thousands of open-source models on Hugging Face Hub as secure, stable, and auto-scalable production-grade APIs with a single click.
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