Instructions to use HowAreYouToday/KoT5-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HowAreYouToday/KoT5-summarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HowAreYouToday/KoT5-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("HowAreYouToday/KoT5-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from HowAreYouToday/KoT5-summarization: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/HowAreYouToday/KoT5-summarization/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://HowAreYouToday/KoT5-summarization/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/HowAreYouToday/KoT5-summarization/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- d1e2dbe531f40a3927e0535689ef24da3312d4218c1694a7ce59dd445341127d
- Size of remote file:
- 892 MB
- SHA256:
- 881c234a9c2763df19ae40ad941d48d29689f869b796acb14763e8b35427f669
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