Hugging Face

Hugging Face (Twitter) RT @osanseviero: Introducing FunctionGemma 🤏270m model for function calling 📱can run in your phone, browser or other devices 🤖designed to be specialized for your own tasks https://huggingface.co/collections/google/functiongemma

Hugging Face (Twitter) RT @xenovacom: NEW: Google releases FunctionGemma, a lightweight (270M), open foundation model built for creating specialized function calling models! 🤯 To test it out, I built a small game: use natural language to solve fun physics simulation puzzles, running 100% locally in your browser! 🕹️

Hugging Face (Twitter) RT @lhoestq: Wow there are now 600,000 public datasets on @huggingface ! They were 600 exactly five years ago 😳 (@mervenoyann@abhi1thakur can testify) So, to summarize: - 2020>2025 : x1000 - 2025>2030: x1000 too ??? 😂 The open source community is crazy !

Hugging Face (Twitter) RT @zRdianjiao: A GGUF format model from the GLM-V series, created by the Hugging Face team. Welcome to use it🥳

Hugging Face (Twitter) RT @MarioNawfal: GROK JUST TURNED VOICE AI INTO A REAL PRODUCT, FAST, AND EVERYWHERE xAI just opened Grok Voice to developers, and this isn’t some early experiment dressed up as a launch. It’s the same system already running inside millions of Teslas, now exposed through an API that actually works in the real world. Speed is the first thing that jumps out. Grok responds in under a second, which means conversations flow instead of stalling. That alone separates it from most voice AI people tolerate rather than enjoy. Language is the next flex. Grok handles dozens of them, switches mid-sentence, and keeps accents and tone intact. It sounds like someone talking, not software guessing. Then there’s capability. Grok can search live data, pull from X, use tools, plan routes, and control systems. In Teslas, it already acts like a co-pilot, not a novelty. No token gymnastics. Source: @xai

Hugging Face (Twitter) RT @jeffboudier: We landed SAM3 in Microsoft Foundry! 💥 You can use it to build image and video editing apps. 🎨📲 SAM3 by @AIatMeta offers state of the art image AND video segmentation and understanding 🏆 @alvarobartt made it available for easy deployment in Microsoft Foundry 😍 And created a step-by-step guide to walk you though it ⤵️

Hugging Face (Twitter) RT @mvaloatto: Assembling Reachy Mini was fun and surprisingly smooth! Great kit, solid guide @pollenrobotics@huggingface👏 Time to play...

Hugging Face (Twitter) RT @itazapo: Transformers v5 redesigns tokenization. In this blog post we talk about: > tokenization crash course > tokenizers and transformers - the bridge > v5 tokenizers backend Major shoutout to @karpathy for his BPE video that got me interested in tokenization in the first place.

Hugging Face (Twitter) RT @evalstate: I've been fortunate to have early access to Toad - really pleased it's now publicly available. Great release by @willmcgugan. To celebrate we're offering $10 of HF Inference Credits to try out open models with our providers. There are so so many nice touches in this UI https://twitter.com/willmcgugan/status/2001673312770908615#m

Hugging Face (Twitter) RT @vanstriendaniel: 🐸 x 🤗 Let's go! $10 free @huggingface Inference Provider credits to try open models with Toad! http://huggingface.co/toad-hf-inference-explorershttps://twitter.com/willmcgugan/status/2001673312770908615#m

Hugging Face (Twitter) RT @Scobleizer: Getting started with @huggingface robot. Are you?

Hugging Face (Twitter) RT @_akhaliq: chatgpt + 🤗