Instructions to use seonglae/rtsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seonglae/rtsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("seonglae/rtsum") model = AutoModelForSeq2SeqLM.from_pretrained("seonglae/rtsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fceb8a5c154f16d4ed8bf072e6159e5f804fcd6ca699cdbeefc4e96bcc5d110e
- Size of remote file:
- 558 MB
- SHA256:
- e81144ff88620154fa305872c18a6e5d3c7369097ec5311b8530a27be702b39a
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