Instructions to use AlanRobotics/ruT5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlanRobotics/ruT5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AlanRobotics/ruT5-base") model = AutoModelForSeq2SeqLM.from_pretrained("AlanRobotics/ruT5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06be48c68cba16550bf0ffbbb2d0385c6f65b05958aa448466c4d1db251c50c6
- Size of remote file:
- 742 kB
- SHA256:
- 49e3442998423498b1c036276787f7d065fa673d76b9dafb83bd5fa19d17a6c5
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