Instructions to use kravchenko/uk-mt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kravchenko/uk-mt5-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kravchenko/uk-mt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("kravchenko/uk-mt5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update readme
root9331e4e -
update model name from t5 to mt5
rootc569bf1
-
Merge branch 'main' of https://huggingface.co/kravchenko/uk-t5-base
Sasha5e9f2ac -
fixed config to be mt5 not regular t5
Sasha68b81ec
-
Update README.md
a120b1d -
Update README.md
cd25885 -
Update README.md
920617c -
Update README.md
98f490e -
added README
Sasha7c389a6 -
initial commit
Sasha695e7dd -
initial commit
1712c8e