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IDEA-CCNL
/
Randeng-T5-77M-MultiTask-Chinese

Transformers
PyTorch
Safetensors
Chinese
t5
text2text-generation
Text2Text Generation
T5
chinese
sentencepiece
text-generation-inference
Model card Files Files and versions
xet
Community
2

Instructions to use IDEA-CCNL/Randeng-T5-77M-MultiTask-Chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use IDEA-CCNL/Randeng-T5-77M-MultiTask-Chinese with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("IDEA-CCNL/Randeng-T5-77M-MultiTask-Chinese")
    model = AutoModelForSeq2SeqLM.from_pretrained("IDEA-CCNL/Randeng-T5-77M-MultiTask-Chinese")
  • Notebooks
  • Google Colab
  • Kaggle
Randeng-T5-77M-MultiTask-Chinese
620 MB
Ctrl+K
Ctrl+K
  • 5 contributors
History: 8 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
cb97c24 about 3 years ago
  • .gitattributes
    1.43 kB
    initial commit over 3 years ago
  • README.md
    12 kB
    update : zeroclue over 3 years ago
  • config.json
    780 Bytes
    init commit over 3 years ago
  • model.safetensors
    310 MB
    xet
    Adding `safetensors` variant of this model about 3 years ago
  • pytorch_model.bin
    310 MB
    xet
    update : zeroclue over 3 years ago
  • special_tokens_map.json
    65 Bytes
    init commit over 3 years ago
  • spiece.model
    681 kB
    xet
    init commit over 3 years ago
  • tokenizer_config.json
    439 Bytes
    init commit over 3 years ago