Instructions to use andreaschandra/pegasus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andreaschandra/pegasus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("andreaschandra/pegasus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("andreaschandra/pegasus-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b263154bb882beaf9286fde884615640aadca19bf60d9dc2eec1ed560fe9c5bc
- Size of remote file:
- 2.28 GB
- SHA256:
- c89a3f7a8ca90be586705735a848271588db9a539060daea430101557e917053
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