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:
- de9b4bc36119df3c20c3dda545e0785385ba1d01e42de6e6d8e05105bd50cf52
- Size of remote file:
- 892 MB
- SHA256:
- 57d1e274485a44cb7749eb35f65e6bc43f417a8f36c9dbcc35a3673c442fe78b
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