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ashaba1in
/
t5-summarization

Transformers
Safetensors
mt5
text2text-generation
Model card Files Files and versions
xet
Community

Instructions to use ashaba1in/t5-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ashaba1in/t5-summarization with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("ashaba1in/t5-summarization")
    model = AutoModelForSeq2SeqLM.from_pretrained("ashaba1in/t5-summarization")
  • Notebooks
  • Google Colab
  • Kaggle
t5-summarization
1.22 GB
Ctrl+K
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  • 1 contributor
History: 5 commits
ashaba1in's picture
ashaba1in
Upload MT5ForConditionalGeneration
582e1bc verified 12 months ago
  • .gitattributes
    1.57 kB
    Upload tokenizer 12 months ago
  • README.md
    5.17 kB
    Upload MT5ForConditionalGeneration 12 months ago
  • config.json
    834 Bytes
    Upload MT5ForConditionalGeneration 12 months ago
  • generation_config.json
    112 Bytes
    Upload MT5ForConditionalGeneration 12 months ago
  • model.safetensors
    1.2 GB
    xet
    Upload MT5ForConditionalGeneration 12 months ago
  • special_tokens_map.json
    416 Bytes
    Upload tokenizer 12 months ago
  • spiece.model
    4.31 MB
    xet
    Upload tokenizer 12 months ago
  • tokenizer.json
    16.3 MB
    xet
    Upload tokenizer 12 months ago
  • tokenizer_config.json
    19.3 kB
    Upload tokenizer 12 months ago