Instructions to use kravchenko/uk-mt5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kravchenko/uk-mt5-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kravchenko/uk-mt5-large") model = AutoModelForSeq2SeqLM.from_pretrained("kravchenko/uk-mt5-large") - Notebooks
- Google Colab
- Kaggle
The aim is to compress the mT5-large model to leave only the Ukrainian language and some basic English.
Reproduced the similar result (but with another language) from this medium article.
Results:
- 1.2B params -> 779M params (37%)
- 250K tokens -> 8900 tokens
- 4.6GB size model -> 2.9GB size model
- Downloads last month
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