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ntphiep
/
viT5_tst_coarse

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

Instructions to use ntphiep/viT5_tst_coarse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ntphiep/viT5_tst_coarse with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("ntphiep/viT5_tst_coarse")
    model = AutoModelForSeq2SeqLM.from_pretrained("ntphiep/viT5_tst_coarse")
  • Notebooks
  • Google Colab
  • Kaggle
viT5_tst_coarse
1.02 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
ntphiep's picture
ntphiep
Update README.md
fa06b20 verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    1.24 kB
    Update README.md 11 months ago
  • config.json
    801 Bytes
    Upload MT5ForConditionalGeneration 11 months ago
  • generation_config.json
    112 Bytes
    Upload MT5ForConditionalGeneration 11 months ago
  • model.safetensors
    1.01 GB
    xet
    Upload MT5ForConditionalGeneration 11 months ago
  • special_tokens_map.json
    2.46 kB
    Upload tokenizer 11 months ago
  • spiece.model
    820 kB
    xet
    Upload tokenizer 11 months ago
  • tokenizer.json
    4.39 MB
    Upload tokenizer 11 months ago
  • tokenizer_config.json
    19.9 kB
    Upload tokenizer 11 months ago