Instructions to use tanay/efactsum-pegasus-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tanay/efactsum-pegasus-xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tanay/efactsum-pegasus-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("tanay/efactsum-pegasus-xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0ffa5580237d8a56645ba735d55e4b539986f1f38f1367825f732f5a3b0a1da
- Size of remote file:
- 2.28 GB
- SHA256:
- 9173f133a86c9b61e517fe89fe7c66ffa2b528e5bbcf53cebf1ee86a328d1ad5
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