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grammarly
/
spivavtor-large

Transformers
Safetensors
Ukrainian
mt5
text2text-generation
Model card Files Files and versions
xet
Community
4

Instructions to use grammarly/spivavtor-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use grammarly/spivavtor-large with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("grammarly/spivavtor-large")
    model = AutoModelForSeq2SeqLM.from_pretrained("grammarly/spivavtor-large")
  • Notebooks
  • Google Colab
  • Kaggle
spivavtor-large
4.94 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 20 commits
machineteacher's picture
machineteacher
Update license
0c614fc verified over 1 year ago
  • .gitattributes
    1.57 kB
    Upload tokenizer about 2 years ago
  • README.md
    2.78 kB
    Update license over 1 year ago
  • config.json
    903 Bytes
    Upload MT5ForConditionalGeneration about 2 years ago
  • generation_config.json
    147 Bytes
    Upload MT5ForConditionalGeneration about 2 years ago
  • model.safetensors
    4.92 GB
    xet
    Upload MT5ForConditionalGeneration about 2 years ago
  • special_tokens_map.json
    416 Bytes
    Upload tokenizer about 2 years ago
  • spiece.model
    4.31 MB
    xet
    Upload tokenizer about 2 years ago
  • tokenizer.json
    16.3 MB
    xet
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    815 Bytes
    Upload tokenizer about 2 years ago