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:
- bd927b2672b40c72b86aa06249caf67dd459beb84c0292603e025a82994c1a7e
- Size of remote file:
- 83.2 MB
- SHA256:
- 215fc1360575a907d9d0dc89fbe08e656e41c7ca76df813c12b95eb98fd68597
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