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tuandm
/
text_summarization_vit5

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

Instructions to use tuandm/text_summarization_vit5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tuandm/text_summarization_vit5 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("tuandm/text_summarization_vit5")
    model = AutoModelForSeq2SeqLM.from_pretrained("tuandm/text_summarization_vit5")
  • Notebooks
  • Google Colab
  • Kaggle
text_summarization_vit5
907 MB
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  • 1 contributor
History: 4 commits
tuandm's picture
tuandm
Upload model.safetensors
cb70ef4 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    31 Bytes
    initial commit almost 2 years ago
  • config.json
    770 Bytes
    Upload 5 files almost 2 years ago
  • generation_config.json
    142 Bytes
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  • model.safetensors
    904 MB
    xet
    Upload model.safetensors almost 2 years ago
  • special_tokens_map.json
    2.12 kB
    Upload 5 files almost 2 years ago
  • spiece.model
    820 kB
    xet
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  • tokenizer.json
    2.42 MB
    Upload 5 files almost 2 years ago
  • tokenizer_config.json
    20 kB
    Upload 5 files almost 2 years ago