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Linhz
/
AlphaEdu_ViT5

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

Instructions to use Linhz/AlphaEdu_ViT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Linhz/AlphaEdu_ViT5 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Linhz/AlphaEdu_ViT5")
    model = AutoModelForSeq2SeqLM.from_pretrained("Linhz/AlphaEdu_ViT5")
  • Notebooks
  • Google Colab
  • Kaggle
AlphaEdu_ViT5
904 MB
Ctrl+K
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  • 1 contributor
History: 8 commits
Linhz's picture
Linhz
a3893517cfcc19c28edbc81264ad5f66d12f316408086f7cd78cd93e2409e5a8
653d0d0 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • config.json
    770 Bytes
    a3893517cfcc19c28edbc81264ad5f66d12f316408086f7cd78cd93e2409e5a8 about 2 years ago
  • generation_config.json
    142 Bytes
    a3893517cfcc19c28edbc81264ad5f66d12f316408086f7cd78cd93e2409e5a8 about 2 years ago
  • model.safetensors
    904 MB
    xet
    a3893517cfcc19c28edbc81264ad5f66d12f316408086f7cd78cd93e2409e5a8 about 2 years ago