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IDEA-CCNL
/
Randeng-T5-Char-57M-MultiTask-Chinese

Transformers
PyTorch
Safetensors
Chinese
t5
text2text-generation
Text2Text Generation
T5
chinese
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use IDEA-CCNL/Randeng-T5-Char-57M-MultiTask-Chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use IDEA-CCNL/Randeng-T5-Char-57M-MultiTask-Chinese with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("IDEA-CCNL/Randeng-T5-Char-57M-MultiTask-Chinese")
    model = AutoModelForSeq2SeqLM.from_pretrained("IDEA-CCNL/Randeng-T5-Char-57M-MultiTask-Chinese")
  • Notebooks
  • Google Colab
  • Kaggle
Randeng-T5-Char-57M-MultiTask-Chinese
458 MB
Ctrl+K
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  • 5 contributors
History: 10 commits
Zimix's picture
Zimix
Update README.md
53dccd8 about 3 years ago
  • .gitattributes
    1.43 kB
    initial commit over 3 years ago
  • README.md
    11.9 kB
    Update README.md about 3 years ago
  • added_tokens.json
    2.42 kB
    init commit over 3 years ago
  • config.json
    795 Bytes
    init commit over 3 years ago
  • model.safetensors
    229 MB
    xet
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • pytorch_model.bin
    229 MB
    xet
    update: zeroclue over 3 years ago
  • special_tokens_map.json
    1.87 kB
    init commit over 3 years ago
  • tokenizer_config.json
    478 Bytes
    init commit over 3 years ago
  • vocab.txt
    53.1 kB
    init commit over 3 years ago