Instructions to use royam0820/pegasus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use royam0820/pegasus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("royam0820/pegasus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("royam0820/pegasus-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from royam0820/pegasus-samsum: direct link, hf CLI and curl.
- Browser
- Download file 2.28 GB
-
https://huggingface.co/royam0820/pegasus-samsum/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://royam0820/pegasus-samsum/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/royam0820/pegasus-samsum/resolve/main/pytorch_model.bin
2.28 GB
- Xet hash:
- 84e09266c2567d8a6978a3a78ccc9c6b9a7501275c7fbf8a798c12661b3b8afa
- Size of remote file:
- 2.28 GB
- SHA256:
- 639061426207116127b2933a2d6054a35a04e67636b8ce0c1d0118ec9ce4e2df
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