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Vrushali
/
model-t5

Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use Vrushali/model-t5 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Vrushali/model-t5")
    model = AutoModelForSeq2SeqLM.from_pretrained("Vrushali/model-t5")
  • Notebooks
  • Google Colab
  • Kaggle
model-t5
Ctrl+K
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  • 1 contributor
History: 5 commits
Vrushali's picture
Vrushali
update model card README.md
90c3056 almost 3 years ago
  • runs
    End of training almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • .gitignore
    13 Bytes
    End of training almost 3 years ago
  • README.md
    1.69 kB
    update model card README.md almost 3 years ago
  • config.json
    1.53 kB
    End of training almost 3 years ago
  • generation_config.json
    142 Bytes
    End of training almost 3 years ago
  • pytorch_model.bin
    990 MB
    xet
    End of training almost 3 years ago
  • special_tokens_map.json
    2.2 kB
    End of training almost 3 years ago
  • spiece.model
    792 kB
    xet
    End of training almost 3 years ago
  • tokenizer_config.json
    2.35 kB
    End of training almost 3 years ago
  • training_args.bin
    3.9 kB
    xet
    End of training almost 3 years ago