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ra4wv2
/
t5-large-qa

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

Instructions to use ra4wv2/t5-large-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ra4wv2/t5-large-qa with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultimodalLM
    
    tokenizer = AutoTokenizer.from_pretrained("ra4wv2/t5-large-qa")
    model = AutoModelForMultimodalLM.from_pretrained("ra4wv2/t5-large-qa")
  • Notebooks
  • Google Colab
  • Kaggle
t5-large-qa
2.95 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
ra4wv2's picture
ra4wv2
End of training
4eb94bf about 3 years ago
  • logs
    End of training about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 1 about 3 years ago
  • README.md
    1.9 kB
    End of training about 3 years ago
  • config.json
    1.48 kB
    Training in progress, epoch 1 about 3 years ago
  • generation_config.json
    112 Bytes
    End of training about 3 years ago
  • pytorch_model.bin
    2.95 GB
    xet
    End of training about 3 years ago
  • special_tokens_map.json
    2.2 kB
    End of training about 3 years ago
  • tokenizer.json
    2.42 MB
    End of training about 3 years ago
  • tokenizer_config.json
    2.32 kB
    End of training about 3 years ago
  • training_args.bin
    3.77 kB
    xet
    Training in progress, epoch 1 about 3 years ago