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we1kkk
/
Randeng-MLT-PromptCBLUE

Transformers
PyTorch
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use we1kkk/Randeng-MLT-PromptCBLUE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use we1kkk/Randeng-MLT-PromptCBLUE with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("we1kkk/Randeng-MLT-PromptCBLUE")
    model = AutoModelForSeq2SeqLM.from_pretrained("we1kkk/Randeng-MLT-PromptCBLUE", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Randeng-MLT-PromptCBLUE
3.14 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
we1kkk's picture
we1kkk
Rename 71.75 to training_recipe
b1787ae over 3 years ago
  • .gitattributes
    1.52 kB
    initial commit over 3 years ago
  • README.md
    576 Bytes
    Update README.md over 3 years ago
  • config.json
    850 Bytes
    model weight over 3 years ago
  • generation_config.json
    168 Bytes
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  • pytorch_model.bin
    3.14 GB
    xet
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  • special_tokens_map.json
    74 Bytes
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  • spiece.model
    681 kB
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  • tokenizer_config.json
    352 Bytes
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  • trainer_state.json
    4.55 kB
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  • training_args.bin
    4.09 kB
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  • training_recipe
    1.7 kB
    Rename 71.75 to training_recipe over 3 years ago