Instructions to use liujxing/pegassus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liujxing/pegassus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("liujxing/pegassus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("liujxing/pegassus-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 778fd565a8afa31ae18db136029e1aee8bf822ec91bdaf3e6791e35edb2827ec
- Size of remote file:
- 2.28 GB
- SHA256:
- 579e8794dd0957cb4c9f6dfdc9097278cea30af163849b94ee2ac427d47598e8
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