Instructions to use Inria-CEDAR/SimpleQT5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Inria-CEDAR/SimpleQT5B with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Inria-CEDAR/SimpleQT5B") model = AutoModelForSeq2SeqLM.from_pretrained("Inria-CEDAR/SimpleQT5B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65ed5d55fd7e75145e8496966fd089bf8de35dcd7e33953006d59a08b75c74dc
- Size of remote file:
- 1.16 GB
- SHA256:
- 9eab10b504506de3880504de02d40214fc43a716ea4433547db92c321a8ab147
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