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longcld
/
t5-small-e2e-qa

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

Instructions to use longcld/t5-small-e2e-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use longcld/t5-small-e2e-qa with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("longcld/t5-small-e2e-qa")
    model = AutoModelForSeq2SeqLM.from_pretrained("longcld/t5-small-e2e-qa", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
t5-small-e2e-qa
1.73 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
97eaf14 almost 3 years ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model almost 3 years ago
  • added_tokens.json
    33 Bytes
    loss 3.0 almost 5 years ago
  • config.json
    1.42 kB
    loss 3.0 almost 5 years ago
  • model.safetensors
    688 MB
    xet
    Adding `safetensors` variant of this model almost 3 years ago
  • optimizer.pt
    353 MB
    xet
    loss 3.0 almost 5 years ago
  • pytorch_model.bin
    688 MB
    xet
    loss 3.0 almost 5 years ago
  • rng_state.pth
    14.5 kB
    xet
    loss 3.0 almost 5 years ago
  • scheduler.pt
    623 Bytes
    xet
    loss 3.0 almost 5 years ago
  • special_tokens_map.json
    65 Bytes
    loss 3.0 almost 5 years ago
  • spiece.model
    4.31 MB
    xet
    loss 3.0 almost 5 years ago
  • tokenizer_config.json
    454 Bytes
    loss 3.0 almost 5 years ago
  • trainer_state.json
    78.7 kB
    loss 3.0 almost 5 years ago
  • training_args.bin
    2.61 kB
    xet
    loss 3.0 almost 5 years ago