Instructions to use MrBananaHuman/kobart-base-v2-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrBananaHuman/kobart-base-v2-summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MrBananaHuman/kobart-base-v2-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("MrBananaHuman/kobart-base-v2-summarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e252c76440094e93cdd7dfe39f46e901991fbe5764f7267fbf89ed1a9ce1a18
- Size of remote file:
- 496 MB
- SHA256:
- 0efe60e181e9a9408d45126bd4a2755fa18d41a016c464d9c39da61722a4bd97
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