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kravchenko
/
uk-mt5-small-gec

Transformers
PyTorch
mt5
text2text-generation
Model card Files Files and versions
xet
Community
1

Instructions to use kravchenko/uk-mt5-small-gec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kravchenko/uk-mt5-small-gec with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("kravchenko/uk-mt5-small-gec")
    model = AutoModelForSeq2SeqLM.from_pretrained("kravchenko/uk-mt5-small-gec", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
uk-mt5-small-gec
301 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
SashkoMolodec
initial commit
3c7ee96 about 4 years ago
  • .gitattributes
    1.17 kB
    initial commit about 4 years ago
  • config.json
    726 Bytes
    initial commit about 4 years ago
  • optimizer.pt
    1.12 MB
    xet
    initial commit about 4 years ago
  • pytorch_model.bin
    299 MB
    xet
    initial commit about 4 years ago
  • rng_state.pth
    14.5 kB
    xet
    initial commit about 4 years ago
  • scheduler.pt
    623 Bytes
    xet
    initial commit about 4 years ago
  • special_tokens_map.json
    65 Bytes
    initial commit about 4 years ago
  • spiece.model
    804 kB
    xet
    initial commit about 4 years ago
  • tokenizer_config.json
    414 Bytes
    initial commit about 4 years ago
  • trainer_state.json
    2.25 kB
    initial commit about 4 years ago
  • training_args.bin
    3.25 kB
    xet
    initial commit about 4 years ago