Instructions to use ai-forever/ruT5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai-forever/ruT5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ai-forever/ruT5-base") model = AutoModelForSeq2SeqLM.from_pretrained("ai-forever/ruT5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c3e474e1927d39dd61bf4131dd8a030845212e95a57f7eb5d77c1e3496ca918
- Size of remote file:
- 892 MB
- SHA256:
- 591b5a6c658dabeb29fdf6a4c4a9b81bd27c889e85d46f7889da3aea9c1bc180
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