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reacted to GoktugD's post with 😎 23 days ago

🇹🇷 **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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Werea-co/Werea-TSS

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GoktugD/DUSUNEN-Oku-62M-v1

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liked 9 models about 1 month ago

Werea-co/Werea-TSS

Text-to-Speech • 0.2B • Updated Aug 14 • 31 • 1

GoktugD/DUSUNEN-Oku-62M-v1

Image-to-Text • 61.6M • Updated Aug 15 • 29 • 1

GoktugD/DUSUNEN-Rota-270M-v1

Sentence Similarity • 0.3B • Updated Aug 13 • 498 • 1

GoktugD/Werea-TR-Topic

Text Classification • 0.1B • Updated Aug 21 • 8 • 1

GoktugD/Werea-TR-TextRestore

Text Generation • 0.3B • Updated Aug 21 • 104 • 1

GoktugD/Llama-NanoSOC1-8B

Text Generation • Updated Aug 21 • 1

Werea-co/Werea-DocOCR-1B

Image-to-Text • 1B • Updated Aug 20 • 77 • 5

Werea-co/Werea-TR-TextRestore

Text Generation • 0.3B • Updated Aug 21 • 323 • 6

GoktugD/DUSUNEN-Atlas-278M-v1

Sentence Similarity • 0.3B • Updated Aug 13 • 34 • 3