Instructions to use Karimfayed/pegasus-SAMSum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Karimfayed/pegasus-SAMSum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Karimfayed/pegasus-SAMSum") model = AutoModelForSeq2SeqLM.from_pretrained("Karimfayed/pegasus-SAMSum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1808693f9fb70b766885617d323073c97f5a0b71d0b3cad7a21019c35bc6263
- Size of remote file:
- 2.28 GB
- SHA256:
- ed83bcb5cc90b14568284d235870b80c4f5b7cd7e3cf2adf51a0d62587547a8f
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