Summarization
Transformers
PyTorch
Safetensors
Korean
t5
text2text-generation
text-generation-inference
Instructions to use psyche/KoT5-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use psyche/KoT5-summarization with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("summarization", model="psyche/KoT5-summarization")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("psyche/KoT5-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("psyche/KoT5-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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|[AI-HUB λμμλ£ μμ½](https://www.aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&aihubDataSe=realm&dataSetSn=93)|ours|greedy|49.71|**17.09**|**5.57**|**16.79**|
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