Instructions to use CLARA-MeD/pegasus-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLARA-MeD/pegasus-xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CLARA-MeD/pegasus-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("CLARA-MeD/pegasus-xsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ec72aec21c06b996a1198417a1a695407159f0af989cc320f5c11c79904ddcd
- Size of remote file:
- 2.28 GB
- SHA256:
- c9b3c769ba3fe307720a53bd0fd6ab42b56c395907dea2dca1194789c762fc79
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