Transformers
PyTorch
Ukrainian
English
multilingual
t5
text2text-generation
ukrainian
english
text-generation-inference
Instructions to use uaritm/ukrt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uaritm/ukrt5-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uaritm/ukrt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("uaritm/ukrt5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
This is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.37ef27b
-
Update README.md
20e74d2
-
Update README.md
e4a3609 -
Update README.md
53a8c78
-
Update README.md
7f74878 -
Update README.md
fc9f791 -
Update README.md
9ea2da4 -
Upload tokenizer_config.json
af5beba -
Upload spiece.model
ab85210 -
Upload special_tokens_map.json
bc633f4 -
Upload pytorch_model.bin
61dae99 -
Upload config.json
f10a507
-
Upload tokenizer_config.json
e4b3f43 -
Upload spiece.model
66c8660 -
Upload special_tokens_map.json
4e628c1 -
Upload pytorch_model.bin
c794fd5 -
Upload config.json
396af35 -
Update README.md
ad8db1a -
Update README.md
25a9010 -
initial commit
37cff7e