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Werea-TR-Topic
GoktugD/Werea-TR-Topic
Werea-TR-Topic is a text classification model from GoktugD. Use it when you need a label for a piece of text. The card lists the license as mit.
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Parameters
111M
885 MB on disk
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Repo makeup
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.safetensors443 MB · 100%
At a glance
- Task
- Text Classification
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Aug 21, 2026
- Updated
- Aug 21, 2026
- SHA
- 31748af7
Base models
Datasets
Model card
From the Hugging Face model README
ℹ️ Werea-co/Werea-TR-Topic aynasıdır.
Werea-TR-Topic — Türkçe haber konu sınıflandırma
Gerçek, insan-etiketli savasy/ttc4900 verisiyle eğitildi; aynı setin ayrılmış test bölümünde dürüstçe ölçüldü. 7 sınıf.
Benchmark (gerçek test)
| Metrik | Skor |
|---|---|
| Accuracy | 92.8% |
| Macro-F1 | 92.7% |
BERTurk tabanlı, 6 epoch.
Kullanım
from transformers import pipeline
clf=pipeline("text-classification",model="Werea-co/Werea-TR-Topic")
print(clf("text metni"))
💜 werea.co
- Task
- Text Classification
- Type
- bert
- License
- mit
- Languages
- tr
- Created
- Aug 21, 2026
- Updated
- Aug 21, 2026