Instructions to use ssgplabon/pegasus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ssgplabon/pegasus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ssgplabon/pegasus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("ssgplabon/pegasus-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0eea6734f280fb1a48d2815c708459fedcf289f627e928ef45f8baf0995dfeac
- Size of remote file:
- 2.28 GB
- SHA256:
- 53481b1c1051427e6d4fec9d69e5d490b3ed10e9ce0511ab5727f15565f0ad0e
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