abenzerps/Qwen-Image-2.1-Uncensored-Quantized Text-to-Image • 7B • Updated 19 days ago • 2.56M • 5.4k
prism-ml/Ternary-Bonsai-2-27B-gguf Text Generation • 27B • Updated about 21 hours ago • 1.92M • 2.87k
Running on Zero Agents 494 Qwen-Image-2.1 🎨 494 Generate or edit images from text and optional photos
view post Post 2,074 🇹🇷 **Can a 110M model understand Turkish names, places and organizations this well?**We tested Werea-TR-NER on the human-labeled WikiANN Turkish test set:**91.7% Entity F1**👤 Person → **94.2%**📍 Location → **91.4%**🏢 Organization → **89.2%**Only ~110M parameters.Try it with a difficult Turkish sentence 👇Ahmet Yılmaz İstanbul'da Werea şirketinde çalışıyor.→ Ahmet Yılmaz — PERSON→ İstanbul — LOCATION→ Werea — ORGANIZATIONBut easy examples are boring.**Give me the hardest Turkish sentence you can think of.**I'll run the most interesting ones through the model and share the failures too.🤗 Model: Werea-co/Werea-TR-NER🇹🇷 Werea: Werea-co **Follow Werea if you're interested in open Turkish AI — we're publishing the models, benchmarks and failures openly.**#TurkishNLP #HuggingFace #NER #OpenSourceAI See translation 😎 5 5 👍 1 1 🔥 1 1 + Reply