Image created with gemini-3.1-flash-image-preview with claude-sonnet-4-5. Image prompt: Vintage 1990s screen-printed t-shirt graphic in single-color deep red ink on worn mustard-yellow cotton fabric, showing two simple cartoon people in retro swimsuits enthusiastically hugging on a beach with a wooden sign reading FREE HUGS STATION behind them, bold text HUGGINGFACE arcing across top in chunky retro letters, aged fabric texture with slight stains, simple cartoon outlines, nostalgic beach town novelty shirt style
1/6 Today we’re introducing Storage Buckets on the Hugging Face Hub. They’re built for mutable, non-versioned ML artifacts: checkpoints, optimizer states, processed shards, logs, traces, eval outputs, and agent-generated files.
https://x.com/Wauplin/status/2031428845887213922
Introducing Storage Buckets on Hugging Face 🧑🚀 The first new repo type on the Hub in 4 years: S3-like object storage, mutable, non-versioned, built on Xet deduplication. – Starting at $8/TB/mo. That’s 3x cheaper than S3. You (and your coding agents) need somewhere to dump
https://x.com/victormustar/status/2031419482292576725
Good news! Ulysses Sequence Parallelism from the Snowflake AI Research and the Deepspeed teams has been integrated into @huggingface Trainer, Accelerate and TRL For extensive details please see this writeup: https://t.co/9laTFfU28P Thanks a lot to @krasul for helping make it
https://x.com/StasBekman/status/2031081858763792574
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