Most people know Hugging Face from its public models and datasets but few realize that 50% of the mo...
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Hugging Face 的私有模型和数据集占比已达 50%，其 S3 替代方案“buckets”助力企业更高效地构建 AI。
Key Takeaways
- Hugging Face 私有模型和数据集占比达 50%，且这一比例正在增长。
- Buckets 是 Hugging Face 提供的 S3 替代方案，用于存储和管理私有 AI 资源。
- 企业通过私有化存储，可更高效和协作地构建 AI，而不依赖外部 API。
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Hugging Face 的私有模型和数据集占比已达 50%，且比例持续增长。
Buckets 是 Hugging Face 提供的 S3 替代方案，用于存储和管理私有 AI 资源。
企业通过私有化存储，可更高效和协作地构建 AI，而不依赖外部 API。
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- Hugging Face 私有化趋势
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大多数人知道 Hugging Face 的公开模型和数据集，但很少有人意识到 50% 的模型和数据集是私有的。
这一比例随着 Buckets（我们的 AI 替代 S3 方案）的使用而增加，使企业能够更高效地构建 AI。
随着更多公司开始自己构建 AI 而不是外包给 API，未来几个月将看到更多这样的趋势。
This number has been increasing with buckets (our S3 alternative for AI) and enable companies to build AI more efficiently and https://t.co/MaNSIAtwf6" / X
clem 🤗 on X: "Most people know Hugging Face from its public models and datasets but few realize that 50% of the models and datasets stored on HF are private. This number has been increasing with buckets (our S3 alternative for AI) and enable companies to build AI more efficiently and https://t.co/MaNSIAtwf6" / X
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clem 
Most people know Hugging Face from its public models and datasets but few realize that 50% of the models and datasets stored on HF are private. This number has been increasing with buckets (our S3 alternative for AI) and enable companies to build AI more efficiently and collaboratively within their organizations, even when they don't share publicly! Excited to see more of that in the coming months as more companies start building AI themselves instead of outsourcing to APIs!
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