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werent4
/
mt5TranslatorLT

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

Instructions to use werent4/mt5TranslatorLT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use werent4/mt5TranslatorLT with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("werent4/mt5TranslatorLT")
    model = AutoModelForSeq2SeqLM.from_pretrained("werent4/mt5TranslatorLT")
  • Notebooks
  • Google Colab
  • Kaggle
mt5TranslatorLT
1.21 GB
Ctrl+K
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  • 1 contributor
History: 23 commits
werent4's picture
werent4
Update README.md
a66e92f verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    2.07 kB
    Update README.md over 1 year ago
  • added_tokens.json
    45 Bytes
    Upload tokenizer over 1 year ago
  • config.json
    802 Bytes
    Upload MT5ForConditionalGeneration over 1 year ago
  • generation_config.json
    142 Bytes
    Upload MT5ForConditionalGeneration almost 2 years ago
  • model.safetensors
    1.2 GB
    xet
    Upload MT5ForConditionalGeneration over 1 year ago
  • special_tokens_map.json
    416 Bytes
    Upload tokenizer almost 2 years ago
  • spiece.model
    4.31 MB
    xet
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    1.21 kB
    Upload tokenizer over 1 year ago