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:
- 96596f54d326542cbab4cf509ddc52af09676c8385bb10312354dad803b933a0
- Size of remote file:
- 3.58 kB
- SHA256:
- 8489952d1fa6a4bfa46a3cd65254b66c538e6ea16f5fc6a5f43ebc9d18104cbb
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