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:
- 4e7719f84e893929b922f86acbbcc84943685653d359fd02f4a31397e14e6f94
- Size of remote file:
- 1.2 GB
- SHA256:
- 47ae3416d12ae60068eb4bf5ba56310566d98bfe435b5fb643a9bdf4a6ee9ad9
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