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Factiverse
/
T5-3B-ClaimDecomp

Transformers
PyTorch
TensorBoard
English
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Factiverse/T5-3B-ClaimDecomp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Factiverse/T5-3B-ClaimDecomp with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Factiverse/T5-3B-ClaimDecomp")
    model = AutoModelForSeq2SeqLM.from_pretrained("Factiverse/T5-3B-ClaimDecomp")
  • Notebooks
  • Google Colab
  • Kaggle
T5-3B-ClaimDecomp / runs
31 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
Vinay Setty
Initial commit
da4774f over 2 years ago
  • Nov06_00-08-37_gpu1
    Initial commit over 2 years ago
  • Nov06_00-11-21_gpu1
    Initial commit over 2 years ago
  • Nov06_00-28-35_gpu1
    Initial commit over 2 years ago