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sagawa
/
CompoundT5

Transformers
PyTorch
JAX
t5
text2text-generation
Eval Results (legacy)
text-generation-inference
Model card Files Files and versions
xet
Community
3

Instructions to use sagawa/CompoundT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sagawa/CompoundT5 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("sagawa/CompoundT5")
    model = AutoModelForSeq2SeqLM.from_pretrained("sagawa/CompoundT5")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#3 opened 9 months ago by
SFconvertbot

Adding `safetensors` variant of this model

#2 opened almost 3 years ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened about 3 years ago by
SFconvertbot
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