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VTSNLP
/
T5_generation

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

Instructions to use VTSNLP/T5_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use VTSNLP/T5_generation with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("VTSNLP/T5_generation")
    model = AutoModelForSeq2SeqLM.from_pretrained("VTSNLP/T5_generation")
  • Notebooks
  • Google Colab
  • Kaggle
T5_generation
907 MB
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  • 1 contributor
History: 3 commits
VTSNLP's picture
VTSNLP
Upload tokenizer
f158af9 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload T5ForConditionalGeneration over 1 year ago
  • config.json
    787 Bytes
    Upload T5ForConditionalGeneration over 1 year ago
  • generation_config.json
    142 Bytes
    Upload T5ForConditionalGeneration over 1 year ago
  • model.safetensors
    904 MB
    xet
    Upload T5ForConditionalGeneration over 1 year ago
  • special_tokens_map.json
    2.46 kB
    Upload tokenizer over 1 year ago
  • spiece.model
    820 kB
    xet
    Upload tokenizer over 1 year ago
  • tokenizer.json
    2.42 MB
    Upload tokenizer over 1 year ago
  • tokenizer_config.json
    20 kB
    Upload tokenizer over 1 year ago