Instructions to use gogamza/kobart-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gogamza/kobart-summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gogamza/kobart-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("gogamza/kobart-summarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9defe46c2da6d428403f9fd7e10d2b6a930faf52a94c22dec9b5e21a208563bc
- Size of remote file:
- 496 MB
- SHA256:
- 0f59dd27e0e73b4b5cf45a6c70513cc5af667df248be097874be71bc51fd5f53
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