Hugging Face

Hugging Face (Twitter) RT @ClementDelangue: Super excited to bring hundreds of state-of-the-art open models (Kimi K2, Qwen3 Next, gpt-oss, Aya, GLM 4.5, Deepseek 3.1, Hermes 4, and dozens new ones every day) directly into @code & @Copilot, thanks to @huggingface inference providers! This is powered by our amazing partners @CerebrasSystems, @FireworksAI_HQ, @Cohere_Labs, @GroqInc, @novita_labs, @togethercompute, and others who make this possible. 💪 Here’s why this is different than other APIs: 🧠 Open weights - models you can truly own, so they’ll never get nerfed or taken away from you ⚡ Multiple providers - automatically routing to get you the best speed, latency, and reliability 💸 Fair pricing - competitive rates with generous free tiers to experiment and build 🔁 Seamless switching - swap models on the fly without touching your code 🧩 Full transparency - know exactly what’s running and customize it however you want The future of AI copilots is open and this is a big first step! 🚀

Hugging Face (Twitter) RT @Xianbao_QIAN: IndexTT2 demo is now ready on @huggingface https://huggingface.co/spaces/IndexTeam/IndexTTS-2-Demohttps://twitter.com/indiehackercase/status/1965454252706533738#m

Hugging Face (Twitter) Our 𝒻𝓇ℯℯ new experiment tracking library now supports logging images, videos, tables, and of course metrics. https://twitter.com/abidlabs/status/1965828375681142903#m

Hugging Face (Twitter) RT @vanstriendaniel: Visual-TableQA: Complex Table Reasoning Benchmark - 2.5K - tables with 6K QA pairs - Multi-step reasoning over visual structures - 92% human validation agreement - Under $100 generation cost

‌Hugging Face (Twitter) RT @daftengine: aaaaand we're live on @huggingface documentation! Thank you to @lhoestq, @vanstriendaniel and the Hugging Face team for all their help pushing this through and excited for our continued collaboration! na2.hubs.ly/H010TDt0 #Daft#HuggingFace#Multimodal#OpenSource

Hugging Face (Twitter) RT @adrgrondin: I gave SmolLM3 by @huggingface a voice 🗣️ Here’s a demo of me talking with the model hands-free on iPhone, thanks to built-in voice activity detection Everything runs fully on-device, powered by Apple MLX

Hugging Face (Twitter) RT @tomaarsen: ModernBERT goes MULTILINGUAL! One of the most requested models I've seen, @jhuclsp has trained state-of-the-art massively multilingual encoders using the ModernBERT architecture: mmBERT. Stronger than an existing models at their sizes, while also much faster! Details in 🧵

Hugging Face (Twitter) RT @HuggingPapers: Meta researchers just unveiled Set Block Decoding on Hugging Face. It's a game-changer for language model inference, delivering 3-5x speedup in token generation with existing models. No architectural changes needed, matches previous performance.

Hugging Face (Twitter) RT @Xianbao_QIAN: The new @TencentHunyuan image 2.1 model is really cool. It reminds me of @Zai_org GLM 4.1. I love how these researchers being humble and calling great improvement 0.1 Both model & demo released on @huggingface

Hugging Face (Twitter) RT @Tim_Dettmers: It feels the coding agent frontier is now open-weights: GLM 4.5 costs only $3/month and is on par with Sonnet Kimi K2.1 Turbo is 3x speed, 7x cheaper vs Opus 4.1, but as good Kimi K2.1 feels clean. The best model for me. GPT-5 is only good for complicated specs -- too slow.

Hugging Face (Twitter) RT @MaziyarPanahi: Introducing MultiCaRe, open-source, multimodal clinical case datasets on @HuggingFace by @OpenMed_AI Community. Public and ready for load_dataset. Images: 160K+ figures/subimages Cases: 85K de-identified narratives + demographics Articles: 85K metadata + abstracts 🧵 (1/7)

Hugging Face (Twitter) RT @mervenoyann: upgrade your transformers 🔥 it comes with insanely capable models like SAM2, KOSMOS2.5, Florence-2 and more 🤝 I built a notebook you can run with free Colab T4 to walk through the API for new models 🙋🏻‍♀️ fine-tuning will follow-up soon!