Instructions to use nbroad/mt5-small-qgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nbroad/mt5-small-qgen with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nbroad/mt5-small-qgen") model = AutoModelForSeq2SeqLM.from_pretrained("nbroad/mt5-small-qgen") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25eaafc37ce0fac392e2f3911bb199d6a7e95c5fb297ea6b8fe75f67cef1614f
- Size of remote file:
- 420 MB
- SHA256:
- 8045ce51c73fed96d10df60dae29f3dc9eb6344dd84046e65f38aa00edd0d258
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