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seungkim1313
/
qa_model

Question Answering
Transformers
PyTorch
bert
Generated from Trainer
Model card Files Files and versions
xet
Community
2

Instructions to use seungkim1313/qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use seungkim1313/qa_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="seungkim1313/qa_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("seungkim1313/qa_model")
    model = AutoModelForQuestionAnswering.from_pretrained("seungkim1313/qa_model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
qa_model
134 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
seungkim1313's picture
seungkim1313
End of training
a7fd6ac almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    1.79 kB
    End of training almost 3 years ago
  • config.json
    685 Bytes
    End of training almost 3 years ago
  • pytorch_model.bin
    133 MB
    xet
    End of training almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    End of training almost 3 years ago
  • tokenizer.json
    712 kB
    End of training almost 3 years ago
  • tokenizer_config.json
    425 Bytes
    End of training almost 3 years ago
  • training_args.bin
    4.03 kB
    xet
    End of training almost 3 years ago
  • vocab.txt
    232 kB
    End of training almost 3 years ago