Instructions to use mikechen/pegasus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mikechen/pegasus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mikechen/pegasus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("mikechen/pegasus-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca368d939252f87a3691b4429a652b0627d58f969e194abefa5693a42842fdbe
- Size of remote file:
- 4.47 kB
- SHA256:
- e4523bc5a03194e244046852e02618ed88b286212c558d8c7c9ec36a457f2af7
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