Instructions to use ruiqingxxx/pegasus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ruiqingxxx/pegasus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ruiqingxxx/pegasus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("ruiqingxxx/pegasus-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68f7bd9ce86cd8efa8e1ba8c245dc4fa7bcfb18b86ce08d1b0d683e16c72e399
- Size of remote file:
- 5.24 kB
- SHA256:
- 984adc9f17c43e0521cd0db95b75312ab872461dea59dc01e529461da271ca49
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