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Werea-co/Werea-TR-Summarizer
Werea-TR-Summarizer is a summarization model from Werea-co. Use it when you need a shorter version of a longer text. The card lists the license as mit.
Gerçek TR-News haber-özet çiftleriyle (50k) eğitildi, test bölümünde dürüstçe ölçüldü.
Downloads · 30 days
35
59% of all-time downloads
All-time downloads
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.safetensors1.2 GB · 98%
From the Hugging Face model README
Gerçek TR-News haber-özet çiftleriyle (50k) eğitildi, test bölümünde dürüstçe ölçüldü.
| Metrik | Skor |
|---|---|
| ROUGE-1 | 32.5 |
| ROUGE-2 | 20.3 |
| ROUGE-L | 29.4 |
mT5-small tabanlı, prefix özet: .
from transformers import pipeline
s=pipeline("summarization",model="Werea-co/Werea-TR-Summarizer")
print(s("özet: "+haber, max_new_tokens=100, num_beams=4))
💜 werea.co