Inference for PROs
β’
50
Victor Mustar PRO
victor
AI & ML interests
Building the UX of this website
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Motion interpolation and random glitches codecs?
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#7 opened about 22 hours ago
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BlenderSushi
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I had a question about Trending datasets. Our initial dataset "Oregon Coast in 4K" was trending at #3 for video at about 700 downloads.
Over the past two days our downloads have spiked, now up to over 2,000, but the dataset has dropped down to the 3rd or 4th page of Trending.
What metrics are used to determine dataset Trending position?
Over the past two days our downloads have spiked, now up to over 2,000, but the dataset has dropped down to the 3rd or 4th page of Trending.
What metrics are used to determine dataset Trending position?
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π© Report: Not working
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#4 opened 5 days ago
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johnblues
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your hugging face profile now has your recent activities π€
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877
Something I love about working at Hugging Face is the opportunity to design and work in public. Right now, weβre redesigning the architecture that supports uploads and downloads on the Hub.
Datasets and models are growing fast, and so are the challenges of storing and transferring them efficiently. To keep up, we're introducing a new protocol for uploads and downloads, supported by a content-addressed store (CAS).
Hereβs whatβs coming:
π¦ Smarter uploads: Chunk-level management enables advanced deduplication, compression, and reduces redundant transfers, speeding up uploads.
β‘ Efficient downloads: High throughput and low latency ensure fast access, even during high-demand model releases.
π Enhanced security: Validate uploads before storage to block malicious or invalid data.
We analyzed 24 hours of global upload activity in October (88 countries, 130TB of data!) to design a system that scales with your needs.
The result? A proposed infrastructure with CAS nodes in us-east-1, eu-west-3, and ap-southeast-1.
π Read the blog post for the full details: https://huggingface.co/blog/rearchitecting-uploads-and-downloads
π Check out our interactive demo to explore the data yourself!
xet-team/cas-analysis
Weβd love to hear your feedback - let us know if you have questions or want to see more.
Datasets and models are growing fast, and so are the challenges of storing and transferring them efficiently. To keep up, we're introducing a new protocol for uploads and downloads, supported by a content-addressed store (CAS).
Hereβs whatβs coming:
π¦ Smarter uploads: Chunk-level management enables advanced deduplication, compression, and reduces redundant transfers, speeding up uploads.
β‘ Efficient downloads: High throughput and low latency ensure fast access, even during high-demand model releases.
π Enhanced security: Validate uploads before storage to block malicious or invalid data.
We analyzed 24 hours of global upload activity in October (88 countries, 130TB of data!) to design a system that scales with your needs.
The result? A proposed infrastructure with CAS nodes in us-east-1, eu-west-3, and ap-southeast-1.
π Read the blog post for the full details: https://huggingface.co/blog/rearchitecting-uploads-and-downloads
π Check out our interactive demo to explore the data yourself!
xet-team/cas-analysis
Weβd love to hear your feedback - let us know if you have questions or want to see more.
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