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mirbostani
/
bert-base-uncased-finetuned-triviaqa

Question Answering
Transformers
PyTorch
English
bert
Model card Files Files and versions
xet
Community
2

Instructions to use mirbostani/bert-base-uncased-finetuned-triviaqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mirbostani/bert-base-uncased-finetuned-triviaqa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="mirbostani/bert-base-uncased-finetuned-triviaqa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("mirbostani/bert-base-uncased-finetuned-triviaqa")
    model = AutoModelForQuestionAnswering.from_pretrained("mirbostani/bert-base-uncased-finetuned-triviaqa")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-uncased-finetuned-triviaqa
872 MB
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  • 1 contributor
History: 12 commits
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SFconvertbot
Adding `safetensors` variant of this model
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  • .gitattributes
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  • README.md
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  • config.json
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  • model.safetensors
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  • pytorch_model.bin
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  • run_triviaqa.py
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.txt
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