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:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uaritm/ukrt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("uaritm/ukrt5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c156ca9532521bb6485e8ff2feb320b664aa1dc76a403c2d86098731556fc98
- Size of remote file:
- 1.01 GB
- SHA256:
- 85ff3eda00c3c03d36ce108f5b4a29314d88487bc312005de7f9883634533baf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.