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Silxxor
/
qa_model

Question Answering
Transformers
PyTorch
bert
Generated from Trainer
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use Silxxor/qa_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="Silxxor/qa_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("Silxxor/qa_model")
    model = AutoModelForQuestionAnswering.from_pretrained("Silxxor/qa_model")
  • Notebooks
  • Google Colab
  • Kaggle
qa_model
715 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Silxxor's picture
Silxxor
End of training
75a1c23 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.36 kB
    End of training over 2 years ago
  • config.json
    864 Bytes
    End of training over 2 years ago
  • pytorch_model.bin
    709 MB
    xet
    End of training over 2 years ago
  • special_tokens_map.json
    125 Bytes
    End of training over 2 years ago
  • spiece.model
    760 kB
    xet
    End of training over 2 years ago
  • tokenizer.json
    3.57 MB
    End of training over 2 years ago
  • tokenizer_config.json
    1.27 kB
    End of training over 2 years ago
  • training_args.bin
    4.47 kB
    xet
    End of training over 2 years ago
  • vocab.txt
    1.65 MB
    End of training over 2 years ago