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irenepap
/
t5-base-asqa-ob

Transformers
PyTorch
t5
text2text-generation
Generated from Trainer
text-generation-inference
Model card Files Files and versions
xet
Community
3

Instructions to use irenepap/t5-base-asqa-ob with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use irenepap/t5-base-asqa-ob with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("irenepap/t5-base-asqa-ob")
    model = AutoModelForSeq2SeqLM.from_pretrained("irenepap/t5-base-asqa-ob")
  • Notebooks
  • Google Colab
  • Kaggle
t5-base-asqa-ob
895 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 21 commits
irenepap's picture
irenepap
librarian-bot's picture
librarian-bot
Librarian Bot: Update dataset YAML metadata for model (#1)
09a4754 over 3 years ago
  • .gitattributes
    1.38 kB
    initial commit over 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 1 over 3 years ago
  • README.md
    2.28 kB
    Librarian Bot: Update dataset YAML metadata for model (#1) over 3 years ago
  • config.json
    1.48 kB
    Training in progress, epoch 1 over 3 years ago
  • pytorch_model.bin
    892 MB
    xet
    End of training over 3 years ago
  • special_tokens_map.json
    2.2 kB
    Training in progress, epoch 1 over 3 years ago
  • spiece.model
    792 kB
    xet
    Training in progress, epoch 1 over 3 years ago
  • tokenizer.json
    2.42 MB
    Training in progress, epoch 1 over 3 years ago
  • tokenizer_config.json
    2.35 kB
    Training in progress, epoch 1 over 3 years ago
  • training_args.bin
    3.5 kB
    xet
    Training in progress, epoch 1 over 3 years ago