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:
- 62833bed443109635677cb2bcb40305aed58b3bcdcd3a084fe474428dbcfe255
- Size of remote file:
- 1.2 GB
- SHA256:
- 4f3936f7b6cf519cb59382b491804c2d1b4efccdf86a068f76bd5c6c959f4211
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