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raquelclemente
/
mt5-summarize-sum-test-internal

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

Instructions to use raquelclemente/mt5-summarize-sum-test-internal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use raquelclemente/mt5-summarize-sum-test-internal with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("raquelclemente/mt5-summarize-sum-test-internal")
    model = AutoModelForSeq2SeqLM.from_pretrained("raquelclemente/mt5-summarize-sum-test-internal")
  • Notebooks
  • Google Colab
  • Kaggle
mt5-summarize-sum-test-internal
2.35 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 18 commits
raquelclemente's picture
raquelclemente
update model card README.md
b501e64 about 3 years ago
  • runs
    End of training about 3 years ago
  • .gitattributes
    1.53 kB
    Training in progress, step 10 about 3 years ago
  • .gitignore
    13 Bytes
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  • README.md
    2.15 kB
    update model card README.md about 3 years ago
  • config.json
    910 Bytes
    Training in progress, step 10 about 3 years ago
  • generation_config.json
    207 Bytes
    End of training about 3 years ago
  • pytorch_model.bin
    2.33 GB
    xet
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  • special_tokens_map.json
    74 Bytes
    Training in progress, step 10 about 3 years ago
  • spiece.model
    4.31 MB
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  • tokenizer.json
    16.3 MB
    xet
    Training in progress, step 10 about 3 years ago
  • tokenizer_config.json
    447 Bytes
    Training in progress, step 10 about 3 years ago
  • training_args.bin
    3.71 kB
    xet
    Training in progress, step 10 about 3 years ago