Instructions to use NUSTM/restaurant-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NUSTM/restaurant-t5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NUSTM/restaurant-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("NUSTM/restaurant-t5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dadd23d68c6660bb82756e824ebfd182622ffcc3fdcf3194546b7b5e08983c9b
- Size of remote file:
- 892 MB
- SHA256:
- 2afa0c03c39d03bf0b3b05edf69484ece027e271b4f3596b389bbc8d67d70243
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