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 tokenizer_config.json from kravchenko/uk-mt5-base: direct link, hf CLI and curl.
- Browser
- Download file 173 Bytes
-
https://huggingface.co/kravchenko/uk-mt5-base/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://kravchenko/uk-mt5-base/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/kravchenko/uk-mt5-base/resolve/main/tokenizer_config.json
173 Bytes
| {"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 0, "additional_special_tokens": null, "sp_model_kwargs": {}, "tokenizer_class": "T5Tokenizer"} |