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T5_Pyeongsan
Youngwoo9/T5_Pyeongsan
T5_Pyeongsan is a summarization model from Youngwoo9. Use it when you need a shorter version of a longer text. It is set up for transformers.
- 'paust/pko-t5-base'기반 pre-trained 모델에 약관 원문/요약 데이터셋을 이용해 fine-tuning을 진행한 모델입니다. - '2023 과학기술대학교 데이터청년캠퍼스' 10조의 프로젝트를 위해 제작되었습니다.
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2.2 GB on disk
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.bin1.1 GB · 50%
At a glance
- Task
- Summarization
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Aug 19, 2023
- Updated
- Aug 24, 2023
- SHA
- 4e48823a
Try a prompt
Model card
From the Hugging Face model README
Introduction
- 'paust/pko-t5-base'기반 pre-trained 모델에 약관 원문/요약 데이터셋을 이용해 fine-tuning을 진행한 모델입니다.
- '2023 과학기술대학교 데이터청년캠퍼스' 10조의 프로젝트를 위해 제작되었습니다.
Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 83382142266
- CO2 Emissions (in grams): 2.7646
Validation Metrics
- Loss: 0.058
- Rouge1: 45.175
- Rouge2: 17.836
- RougeL: 45.015
- RougeLsum: 45.138
- Gen Len: 52.215
Usage
You can use cURL to access this model:
$ curl -X POST -H "Authorization: Bearer YOUR_HUGGINGFACE_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/Youngwoo9/autotrain-fjklsdjf-83382142266
- Task
- Summarization
- Library
- transformers
- Type
- t5
- Languages
- unk
- Created
- Aug 19, 2023
- Updated
- Aug 24, 2023