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Barkavi
/
t5largetotto

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

Instructions to use Barkavi/t5largetotto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Barkavi/t5largetotto with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Barkavi/t5largetotto")
    model = AutoModelForSeq2SeqLM.from_pretrained("Barkavi/t5largetotto")
  • Notebooks
  • Google Colab
  • Kaggle
t5largetotto
8.85 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 7 commits
Barkavi's picture
Barkavi
Upload 6 files
2d26fa3 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • config.json
    1.48 kB
    Upload config.json almost 3 years ago
  • generation_config.json
    117 Bytes
    Upload generation_config.json almost 3 years ago
  • optimizer.pt
    5.9 GB
    xet
    Upload optimizer.pt almost 3 years ago
  • pytorch_model.bin
    2.95 GB
    xet
    Upload pytorch_model.bin almost 3 years ago
  • rng_state.pth
    14.6 kB
    xet
    Upload rng_state.pth almost 3 years ago
  • scheduler.pt
    627 Bytes
    xet
    Upload 6 files almost 3 years ago
  • special_tokens_map.json
    2.2 kB
    Upload 6 files almost 3 years ago
  • spiece.model
    792 kB
    xet
    Upload 6 files almost 3 years ago
  • tokenizer_config.json
    2.35 kB
    Upload 6 files almost 3 years ago
  • trainer_state.json
    7.25 kB
    Upload 6 files almost 3 years ago
  • training_args.bin
    4.03 kB
    xet
    Upload 6 files almost 3 years ago