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
Commit ·
d2e012d
1
Parent(s): afa4df6
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:fd47ded0ca002221fc75317f1f9ebd76b953022ac89972578c9bf890a090223d
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size 977249183
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