Instructions to use xrverse/pegasus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xrverse/pegasus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("xrverse/pegasus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("xrverse/pegasus-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71090eb31fbbb58690a3850d596075d2884851fa9cdac17e9c56151a9924d93c
- Size of remote file:
- 2.28 GB
- SHA256:
- 76d6d3a289785573fb3e1d11180c9683fd58afc7b303404429f49e1a75f8da4d
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