Instructions to use BM-K/NewsKoT5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BM-K/NewsKoT5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BM-K/NewsKoT5-small") model = AutoModelForSeq2SeqLM.from_pretrained("BM-K/NewsKoT5-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91939a37df96d948eaa479ea2412350df37a753f1fd77bfaf5d4b744abeb452c
- Size of remote file:
- 246 MB
- SHA256:
- fdbcbab19ab69ef934ce1b3fcb03acbaca07eb176e748d6cca7a1f22ec6768e2
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