Say hallo to GermaNER 💪– a lightweight, high-accuracy NER model for German texts, powered by XLM-RoBERTa + LoRA adapters! ⚡ Fast, efficient, and open-source – perfect for tagging names, places & orgs in real-world German data. Try it now on Hugging Face 👉 fau/GermaNER
🚀 Videoxity is live on Hugging Face! 🎞️ A powerful, modular toolkit for intelligent video manipulation and scene editing.
With Videoxity, you can:
🖼️ Auto-caption keyframes with BLIP
🧠 Filter scenes using natural language (e.g. “remove dog scenes”)
✂️ Seamlessly trim videos with FFmpeg
📊 Generate frame-based summaries
Powered by Groq LLM + LangChain, OpenCV, BLIP, and SentenceTransformers, Videoxity bridges vision and language to give developers full control over video content. 🔧 Built for developers. Feedback welcome!