在 Hugging Face Spaces 上使用 Streamlit 託管您的模型與資料集
Original: Hosting your Models and Datasets on Hugging Face Spaces using Streamlit
Hugging Face has announced the launch of its new "Spaces" feature, designed to provide the machine learning community with a simple, fast…
Hugging Face 宣布在其平台推出 Spaces 服務，並原生支援熱門的 Python 網頁框架 Streamlit。開發者只需撰寫簡單的 Python 程式碼，即可將 Hugging Face 上的模型與資料集轉化為具備互動介面的 Web 應用。透過 Git 工作流，開發者能輕鬆部署、分享並與社群共同協作，極大降低了 AI 專案展示的門檻。
Hugging Face has announced the launch of its new "Spaces" feature, designed to provide the machine learning community with a simple, fast, and free platform for showcasing models and datasets. In this update, Spaces natively integrates Streamlit — an open-source Python framework beloved by data scientists and machine learning engineers.
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