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
Download pytorch_model.bin from kravchenko/uk-mt5-base: direct link, hf CLI and curl.
- Browser
- Download file 977 MB
-
https://huggingface.co/kravchenko/uk-mt5-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kravchenko/uk-mt5-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kravchenko/uk-mt5-base/resolve/main/pytorch_model.bin
977 MB
- Xet hash:
- 923d5cfc40f7f93cdad6bc1c73c43fda4ed438b9bca4ecc27732f8009645c844
- Size of remote file:
- 977 MB
- SHA256:
- e1b78aa254727b0247d60dbbb566ad14612eb19ee72bfe15c97f94254959c1a6
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