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71.7
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sdsa das dasdasd asd as
selenaznumantos
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🇹🇷 **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 — ORGANIZATION But 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: https://huggingface.co/Werea-co/Werea-TR-NER 🇹🇷 Werea: https://huggingface.co/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
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