Instructions to use flood/pegasus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flood/pegasus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("flood/pegasus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("flood/pegasus-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6bd9141cff43251f6eb87a1f22022dfde0daaa69c5109c1223154f38cf2b85b
- Size of remote file:
- 3.18 kB
- SHA256:
- 53c08e2ff719d99169ef2071351e40b8feeb79ba4f2a553b04e16fcfd49193c4
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