Instructions to use NUSTM/dutch-restaurant-mt5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NUSTM/dutch-restaurant-mt5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NUSTM/dutch-restaurant-mt5-small") model = AutoModelForSeq2SeqLM.from_pretrained("NUSTM/dutch-restaurant-mt5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfae4e7d44e48732071ddfaee59700b6ef3417ede335c072e1e1a796c60c2766
- Size of remote file:
- 1.2 GB
- SHA256:
- bfb84af7606a3b91b214d54f180af6056c9edf271e188e1574e5bec6c1a40457
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