9 Questions
什么是 Hugging Face Hub？
一个平台，用于开源机器学习
哪个平台是开源机器学习的中心，用于协作、分享、探索、发现和实验？
Hugging Face Hub
Hugging Face Hub是什么？
Hugging Face Hub 上有多少个模型？
120k
Hugging Face Hub有多少个模型、数据集和演示应用程序？
120k模型，20k数据集，50k演示应用程序
Hugging Face Hub有多少个模型、数据集和demo app？
Hugging Face Hub的模型仓库有什么用途？
存储模型的版本、提交历史、差异、分支和库集成。
Hugging Face Hub的作用是什么？
什么是 Spaces？
一个机器学习的演示应用程序
Study Notes
- The Hugging Face Hub is a platform for open-source Machine Learning.
- It has over 120k models, 20k datasets, and 50k demo apps (Spaces).
- The Hub is a central place for collaboration, sharing, exploring, discovering, and experimenting with ML.
- The platform hosts Git-based repositories with versioning, commit history, diffs, branches, and library integrations.
- Users can find and use open-source ML models and datasets shared by the community.
- Model repos have Model Cards to inform users of each model's limitations and biases.
- The Hub has over 5,000 datasets in more than 100 languages and extensive documentation in the form of Dataset Cards and Dataset Preview.
- Spaces allow users to host ML demo apps and showcase their projects.
- Organizations can group accounts and manage datasets, models, and Spaces.
- The Hub supports security and access control features to keep code, models, and data safe.
"Test your knowledge about the Hugging Face Hub - the ultimate platform for open-source Machine Learning! Discover the extensive collection of models, datasets, and demo apps available on the Hub, and learn how to collaborate, share, and experiment with ML. From Git-based repositories to versioning and commit history, explore the many features of the Hub while learning about Model Cards, Dataset Cards, and Dataset Preview. Take the quiz now and see if you're an ML expert!"
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