Instructions to use KCourtney/pegasus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KCourtney/pegasus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KCourtney/pegasus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("KCourtney/pegasus-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f223000a34c6d75d0c1c57d5e9c36c08c4b30adb8db6db730c23b1bbe851456d
- Size of remote file:
- 2.28 GB
- SHA256:
- 45c5b3f374e1cf5f7987db1079ceba0c61b324d1f00c243be6cbab0886a188e1
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