Instructions to use qsnell/pegasus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qsnell/pegasus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("qsnell/pegasus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("qsnell/pegasus-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95b7f134261b67a748ad0ceeedaa8f839c1b2b0e2fa4085c28ccc14184c28be6
- Size of remote file:
- 5.18 kB
- SHA256:
- 904b9775eb3570ba7d2326c89fe0a83e3fbb5917ab1aa8ec7fd2a761cea9c5ba
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