Instructions to use liujxing/pegassus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liujxing/pegassus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("liujxing/pegassus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("liujxing/pegassus-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8236f84217b857c20db4afdc3b8d69f45b5d80de5a354ed2fc9b8422d7ee9770
- Size of remote file:
- 3.31 kB
- SHA256:
- 4122cec88e137f8b84af7bc53792928336519613f7595a06ed973cc07101819e
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