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Afework
/
t5_boolq

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

Instructions to use Afework/t5_boolq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Afework/t5_boolq with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Afework/t5_boolq")
    model = AutoModelForSeq2SeqLM.from_pretrained("Afework/t5_boolq", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
t5_boolq
3.57 GB
Ctrl+K
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  • 1 contributor
History: 9 commits
Afework's picture
Afework
Update config.json
db94925 about 4 years ago
  • .gitattributes
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  • checkpointepoch=1-002.ckpt
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  • config (1).json
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  • config.json
    1.21 kB
    Update config.json about 4 years ago
  • pytorch_model.bin
    892 MB
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  • special_tokens_map.json
    1.79 kB
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  • spiece.model
    792 kB
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  • tokenizer_config.json
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