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:
- 5ce244cad70b0adeb817f46143c9d14203323b4d3ae61ed3262bce53916ba923
- Size of remote file:
- 951 MB
- SHA256:
- a79efd783b4b94904c848e68dc9a345d2353981f2c5728e53408fd91244ff92d
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