Instructions to use Worldman/pegasus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Worldman/pegasus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Worldman/pegasus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("Worldman/pegasus-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6dcea994a5b1d11632facef9eb89119cef67b4459e22fc5bd716f160397243e3
- Size of remote file:
- 2.28 GB
- SHA256:
- a5a2be9343cfb52f956c5905dfe24fd5224f8a65d0522dbdc969501961b7a5f5
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