Instructions to use patnelt60/pegasus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patnelt60/pegasus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("patnelt60/pegasus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("patnelt60/pegasus-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c569992324bb2ac9417e2a3b5d1ce3757a3fd04af92955bc9dc343999c752ab
- Size of remote file:
- 2.28 GB
- SHA256:
- 9e0280e0c457789fc7e609eadc1e826fee60f0670403f66b62d83ee56cc0da31
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