Hugging Face

Hugging Face (Twitter) RT @preciouscopy: Now that 2025 is over, let's talk about Products... Let's start with the Best Community-led Product category: Global winner: Hugging Face @huggingface Local winner: Piggyvest @piggyvest Global products nominees: - Discord: owned my the crypto and creator community @discord

Hugging Face (Twitter) RT @psincraian: Just ran a query on pepy. Here are the top 3 new Python libraries that were the most downloaded in 2025! 🥇 typing-inspection by @pydantic Runtime inspection of type annotations. Powers Pydantic v2's validation magic. 🥈 hf-xet by @huggingface Fast model downloads using content-aware chunking. Makes pulling weights from the Hub 10x faster. 🥉 ipython-pygments-lexers Syntax highlighting for IPython's special syntax like %magics or !shell. Split out from IPython core, now a standalone dependency

Hugging Face (Twitter) RT @rahat_neuron: Managing multiple AI provider APIs is a nightmare. @huggingface Inference Providers fixes this. one API → hundreds of models from Cohere, Groq, Replicate, Together AI, and more. text generation, image creation, embeddings, all in one place. starts free, no vendor lock-in.

Hugging Face (Twitter) RT @ben_burtenshaw: I’ve had a very wild 2025 at Hugging Face, so I thought I’d share a deeply linkedin vibed post about what my work is like and how we ship at HF. I’ll use some of the random questions folk ask and answer them: > what team are you in? I am a little team know as 🥑. We have a wide variety of functions; from helping teams release new models, to writing docs, to building tools like transformers. We don’t have borders on what we do, we just do what needs doing. We’re autonomous, independent, and friendly! > what was the best thing you did this year? Actually not the biggest visibility things, probably contributing the NanoChat model to transformers. It went under the radar, but it was a wild learning experience. > what do you want to work on more? Training Agents. Contributing to the OpenEnv project was really cool. I’m super into RL for agents, and have been a fan boy for years. Because of that, I spend a lot of time watching environment projects and making minor contributions. This was the first time that I really got let in and ran with it. I’m super excited for where it’s going. > should I apply for a job at Hugging Face? Being real, this isn’t an easy question. It’s an amazing place to work where people love what they do. However, it’s not for everyone. We’re given a load of autonomy to work on the projects we think are impactful. And we work in super async and remote ways. That takes a push to get working. There’s no playbook or recipe, just warm encouragement and solid feedback. Happy 2026

Hugging Face (Twitter) RT @helloiamleonie: pov: you’re watching a reachy mini unboxing video but somehow it’s asmr brainrot

‌Hugging Face (Twitter) RT @0xSero: https://huggingface.co/0xSero/GLM-4.7-REAP-40p-W4A16-AutoRound GLM-4.7 running on 115gb VRAM as promised! Still need to benchmark this was a test run

Hugging Face (Twitter) RT @chenosaurus: Gave @pollenrobotics@huggingface Reachy voice, sight, and motion with a @livekit agent. It feels alive. 🤖👻

‌Hugging Face (Twitter) RT @eelbaz: 🚨🎆 NEW YEAR DROP 🎆🚨 I've released @MiniMax__AI MiniMax-M2.1-PRISM 230B params, 10B active. No guardrails. - smallest M2.1 quant on @huggingface🤗 - Beats @AnthropicAI - Sonnet 4.5 - Now runs locally on std Hardware - Via @ollama, @lmstudio, @ggerganov's llama.cpp PRISM: full caps, zero refusals. 2026 starts open & uncensored. 🚀 🔗 #OpenSource#LocalLLM#OpenAI#MiniMax #2026

Hugging Face (Twitter) RT @ctmorley: Hundreds of questions were asked by my 4-year-old son as we assembled the Reachy Mini robot (2 hours), connected it with Claude Code (5 minutes), integrated real-time VLMs/web search APIs (10 minutes) and brought embodied Al to life at our kitchen table. May the curiosity and creativity of this Generation Alpha, the first Al-native generation, be a wellspring of daily inspiration to us all. Epic foundational work by @huggingface@pollenrobotics@claudeai

Hugging Face (Twitter) RT @victormustar: the evolution of open source image models 🤯

Hugging Face (Twitter) RT @helloiamleonie: ready?

Hugging Face (Twitter) RT @Xianbao_QIAN: Probably the first model released on 2026 and the number looks super impressive as a 40B model! Congratulations to the IQuest team! Model available on @huggingface huggingface.co/IQuestLab Looking forward for more inference provider support.