Instructions to use ryusangwon/bart-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ryusangwon/bart-xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ryusangwon/bart-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("ryusangwon/bart-xsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25fff7464d09137938abf0ef6c445aeb4a3eba6270254962be734c09a9bb7004
- Size of remote file:
- 1.63 GB
- SHA256:
- 9afbd8a46b5ab720e602fbc4a6520ea091d94da01c53faae2a1449074d46a8ca
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