Hugging Face

Hugging Face (Twitter) RT @HuggingPapers: Meta just released Action100M on Hugging Face A massive video dataset with 100M+ hierarchical action annotations. Every video includes tree-of-captions with action labels, brief and detailed summaries.

‌Hugging Face (Twitter) RT @_akhaliq: FLUX.2-klein-9B https://huggingface.co/black-forest-labs/FLUX.2-klein-9B

Hugging Face (Twitter) RT @NVIDIAAIDev: ✨ One year after the debut of "Project Digits," DGX Spark has transformed from concept to reality and is now available from NVIDIA and OEM partners. See it in action lighting up the show floor at #CES2026. #SparkSomethingBig

‌Hugging Face (Twitter) RT @_akhaliq: TranslateGemma is out https://huggingface.co/collections/google/translategemma

Hugging Face (Twitter) RT @itsPaulAi: So we now have a 100% open source and local Google Translate And the smaller 4B model runs on a phone. Offline. Insane. https://twitter.com/GoogleDeepMind/status/2011848249850630363#m

Hugging Face (Twitter) RT @victormustar: Welcome 🖖https://twitter.com/0xSero/status/2011825722571006338#m

Hugging Face (Twitter) RT @bfl_ml: Introducing FLUX.2 [klein]. Blazing fast. Beautiful. Generate stunning images in under a second while maintaining exceptional quality. Great for fast editing, changing styles, and developing ideas from 0 → 1. Available via API, or run it locally - Klein 4B under Apache 2.0, Klein 9B as open weights. Try it for free in our demo app (link in the thread).

Hugging Face (Twitter) RT @ben_burtenshaw: Finally! We (the community + @OpenAIDevs + @huggingface ) bring you an open standard for inference. It's called 'Open Responses' it's based on Responses and it's perfect for agent workloads. Fewer special cases, more consistency, faster shipping. Excited for what this unlocks. Below is a deep dive blog post, we’ll look at how Open Responses works and why the open source community should use Open Responses.

Hugging Face (Twitter) RT @thesystms: Today we're releasing our first official LoRA: INFL8 Trained on the incredible @Alibaba_Qwen Image Edit 2511 model, it can inflate anything! Links to the model and @huggingface space below so you can try it out for yourself ⬇️

‌Hugging Face (Twitter) RT @GoogleDeepMind: Built on Gemma 3, TranslateGemma was trained on data generated by Gemini – effectively transferring its intelligence into a smaller package. This means developers can build low-latency translation tools that run entirely on-device. Try it now on @huggingface and @Kaggle ↓ goo.gle/4sHFo0V

Hugging Face (Twitter) RT @GoogleDeepMind: We’re releasing TranslateGemma, a new family of open translation models with support for 55 languages. 🌐 Available in 4B, 12B, and 27B parameter sizes – they’re designed for efficiency without sacrificing quality.

‌Hugging Face (Twitter) RT @googleaidevs: Download weights: @kaggle → goo.gle/4qtXfqY @huggingface ↓ https://huggingface.co/collections/google/translategemma