Transformers
PyTorch
JAX
Safetensors
Russian
English
multilingual
t5
text2text-generation
russian
text-generation-inference
Instructions to use cointegrated/rut5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cointegrated/rut5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cointegrated/rut5-base") model = AutoModelForSeq2SeqLM.from_pretrained("cointegrated/rut5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3d1023c908a22980145b5dba3cc98ef96983ca6628c821bdf8b5491a1ec26bb
- Size of remote file:
- 977 MB
- SHA256:
- ab255ee07492a80a47af768e8d0934cef6fe99e379dc78678f7137828fe2ccb9
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