Instructions to use Inria-CEDAR/SimpleQT5S with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Inria-CEDAR/SimpleQT5S with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Inria-CEDAR/SimpleQT5S") model = AutoModelForSeq2SeqLM.from_pretrained("Inria-CEDAR/SimpleQT5S") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80cbc62c6274fe932b46262726946a52cfc27fd28e4eec0b9673060f86dee3a1
- Size of remote file:
- 510 MB
- SHA256:
- abab047da5cef714970e55d0198c7b1b34a58f133c7c4a859bee7cdaac661d90
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