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:
- 8992eeccdf455d122c9cb455401be093cd0b20064660beea311221e5c22be0b5
- Size of remote file:
- 2.28 GB
- SHA256:
- 0045d53641f4e382fdf5a61f810113332ce9086a76c9324bb27572b8bae5a01e
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