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Pag. 41 di 85 · 1,011 post

Pubblicato 27 nov

Hugging Face (Twitter) RT @Xianbao_QIAN: Z-Image, a new image generation / editing model from Alibaba. - Ultra fast generation sub-second on H800 - Fits within 16G consumer device - Rich high frequency details - Base (non-distilled version) is also available - 6B, apache 2 license - Demo available on @huggingface

18 views

Pubblicato 26 nov

Hugging Face (Twitter) RT @vanstriendaniel: 🤗 Inference Providers = access to the best open models via 19+ providers through a single API. Just shipped integration docs showing how to use Inference Providers with your favourite applications, tools and frameworks!

21 views

Pubblicato 26 nov

Hugging Face (Twitter) RT @ShayneRedford: Who is winning the open AI race? Our new study "Economies of Open Intelligence" maps 2.2B @huggingface downloads across 851k models (2020→2025). 1) Power is rebalancing (US big tech ↓; China + community ↑) 2) Models got big & efficient (MoE, quant, multimodal surge) 3) Intermediaries now matter (adapters/quantizers steer usage) 4) Transparency is slipping /🧵

18 views

Pubblicato 26 nov

Hugging Face (Twitter) RT @frimelle: Our new paper Economies of Open Intelligence is out and covered by @Melissahei in the @FinancialTimes. It offers the clearest picture yet of how global power is shifting inside the open AI ecosystem, and what it means for the open-source community.

18 views

Pubblicato 26 nov

Hugging Face (Twitter) RT @mkurman88: Cool, still pretty popular. @OpenMed_AI

20 views

Pubblicato 26 nov

‌Hugging Face (Twitter) RT @AdinaYakup: Daily Papers has gained a lot of attention this past year with all the new updates 🔥 Here’s a guide that will help you quickly understand what’s new and make better use of the tool 🤗 https://huggingface.co/blog/AdinaY/a-guide-to-hugging-faces-papers-page

30 views

Pubblicato 26 nov

Hugging Face (Twitter) RT @ariG23498: Flux.2 is a BIG BOI 🐘 The inference takes more than 80GB VRAM A small thread on how one can run it on a NVIDIA L4 (22 GBs of VRAM)? 😉

22 views

Pubblicato 26 nov

Hugging Face (Twitter) Flux.1-dev has been the second most liked model on Hugging Face just after Deepseek R1 so super excited to see the release of Flux.2-dev by @bfl_ml today! Download the weights or try the model (thanks to @fal) on @huggingface: https://huggingface.co/black-forest-labs/FLUX.2-dev Read the blogpost: huggingface.co/blog/flux-2 Let’s go!

19 views

Pubblicato 26 nov

Hugging Face (Twitter) RT @ClementDelangue: Reachy mini is my new podcast assistant! Coming soon with @ti_morse...

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Pubblicato 26 nov

Hugging Face (Twitter) RT @mervenoyann: FLUX.2 is here! 🎨 > single text encoder (Mistral Small 3.1) + DiT > experiment with different quantization schemes for inference & training (QLoRA) -- more than 80GB VRAM otherwise > comes with day-0 diffusers support 🧨

19 views

Pubblicato 26 nov

‌Hugging Face (Twitter) RT @multimodalart: FLUX.2 is out! 🚨 FLUX.2-dev bing state-of-the-art to open weight, with a chonky 32B parameter model, however, it can run on low-end cards with quantization and the new remote text encoder Read more on the 🧨 diffusers welcomes FLUX-2 blog huggingface.co/blog/flux-2

18 views

Pubblicato 26 nov

Hugging Face (Twitter) RT @bfl_ml: FLUX.2 is here - our most capable image generation & editing model to date. Multi-reference. 4MP. Production-ready. Open weights. Into the new.

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