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Maciel
/
T5Corrector-base-v1

Transformers
PyTorch
Chinese
t5
text2text-generation
text error correction
text-generation-inference
Model card Files Files and versions
xet
Community
2

Instructions to use Maciel/T5Corrector-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Maciel/T5Corrector-base-v1 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Maciel/T5Corrector-base-v1")
    model = AutoModelForSeq2SeqLM.from_pretrained("Maciel/T5Corrector-base-v1")
  • Notebooks
  • Google Colab
  • Kaggle
T5Corrector-base-v1
994 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
Maciel's picture
Maciel
Update README.md
14e96ee about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    2.53 kB
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  • config.json
    820 Bytes
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  • pytorch_model.bin
    990 MB
    xet
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  • rng_state.pth
    15.5 kB
    xet
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  • special_tokens_map.json
    2.2 kB
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  • spiece.model
    725 kB
    xet
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  • tokenizer.json
    2.36 MB
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  • tokenizer_config.json
    2.44 kB
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