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auday
/
paraphraser_model2

Transformers
PyTorch
JAX
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use auday/paraphraser_model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use auday/paraphraser_model2 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("auday/paraphraser_model2")
    model = AutoModelForSeq2SeqLM.from_pretrained("auday/paraphraser_model2")
  • Notebooks
  • Google Colab
  • Kaggle
paraphraser_model2
1.78 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
patrickvonplaten's picture
patrickvonplaten
upload flax model
01c537c almost 5 years ago
  • .gitattributes
    736 Bytes
    allow flax almost 5 years ago
  • README.md
    306 Bytes
    Add t5-paraphraser model binary and README about 5 years ago
  • config.json
    1.21 kB
    Add t5-paraphraser model binary and README about 5 years ago
  • flax_model.msgpack
    892 MB
    xet
    upload flax model almost 5 years ago
  • pytorch_model.bin
    892 MB
    xet
    Add t5-paraphraser model binary and README about 5 years ago