Transformers
PyTorch
JAX
Safetensors
Russian
English
t5
text2text-generation
russian
text-generation-inference
Instructions to use cointegrated/rut5-base-multitask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cointegrated/rut5-base-multitask with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cointegrated/rut5-base-multitask") model = AutoModelForSeq2SeqLM.from_pretrained("cointegrated/rut5-base-multitask") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1d49e4a91ad2c80d725c917ae895360edabf52b9cf0adfb73d823172c104b69
- Size of remote file:
- 977 MB
- SHA256:
- 49eb8ff7d27962a9e2a36b135ea18e7d0c38df0b6b89c6dcfe0762b2e070e940
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