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hlillemark
/
mt5-3B-flores200-packed

Transformers
PyTorch
TensorBoard
mt5
text2text-generation
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use hlillemark/mt5-3B-flores200-packed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hlillemark/mt5-3B-flores200-packed with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("hlillemark/mt5-3B-flores200-packed")
    model = AutoModelForSeq2SeqLM.from_pretrained("hlillemark/mt5-3B-flores200-packed", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mt5-3B-flores200-packed
15 GB
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  • 1 contributor
History: 4 commits
hlillemark's picture
hlillemark
Upload 3 files
9403f88 about 3 years ago
  • 1e-04
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  • 2e-04
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  • 3e-04
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  • .gitattributes
    1.53 kB
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  • config.json
    853 Bytes
    Upload MT5ForConditionalGeneration about 3 years ago
  • generation_config.json
    133 Bytes
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  • pytorch_model-00001-of-00002.bin
    7.94 GB
    xet
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  • pytorch_model-00002-of-00002.bin
    7.03 GB
    xet
    Upload MT5ForConditionalGeneration about 3 years ago
  • pytorch_model.bin.index.json
    50.7 kB
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  • special_tokens_map.json
    74 Bytes
    Upload tokenizer about 3 years ago
  • spiece.model
    4.31 MB
    xet
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  • tokenizer.json
    16.3 MB
    xet
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  • tokenizer_config.json
    447 Bytes
    Upload tokenizer about 3 years ago