Instructions to use qsnell/pegasus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qsnell/pegasus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("qsnell/pegasus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("qsnell/pegasus-samsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a31f361324f440aedf29172d97fe98cd3ea09929db8d4901f324aa4e9f7af5c
- Size of remote file:
- 2.28 GB
- SHA256:
- b9bf4f09f8d5629da7df9276f49e2dc764047fe564c54d57e77d97d499c3ab80
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