Instructions to use abecode/pegasus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abecode/pegasus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("abecode/pegasus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("abecode/pegasus-samsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f36fb555c6ce160d1c6fd95ad228781ecdcba14a823e78fa61db416f1b08fbc2
- Size of remote file:
- 5.18 kB
- SHA256:
- 1a46ce6eb2a9c54d2313e7ca2e0e90541850f692c2913ac1e95548e841d3bdf8
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