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SemViQA
/
qatc-vimrc-viwikifc

Question Answering
Transformers
Safetensors
Vietnamese
qatc
SemViQA
fact-checking
information-retrieval
Model card Files Files and versions
xet
Community
1

Instructions to use SemViQA/qatc-vimrc-viwikifc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SemViQA/qatc-vimrc-viwikifc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="SemViQA/qatc-vimrc-viwikifc")
    # Load model directly
    from transformers import AutoModelForQuestionAnswering
    model = AutoModelForQuestionAnswering.from_pretrained("SemViQA/qatc-vimrc-viwikifc", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
qatc-vimrc-viwikifc
2.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
xuandin's picture
xuandin
Update README.md
5d2a843 verified 11 months ago
  • .gitattributes
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  • README.md
    13.6 kB
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  • config.json
    259 Bytes
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  • model.safetensors
    2.24 GB
    xet
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  • special_tokens_map.json
    964 Bytes
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  • tokenizer.json
    17.1 MB
    xet
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  • tokenizer_config.json
    1.18 kB
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