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SemViQA
/
vi-mrc-large-viwikifc

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

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

  • Libraries
  • Transformers

    How to use SemViQA/vi-mrc-large-viwikifc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="SemViQA/vi-mrc-large-viwikifc")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("SemViQA/vi-mrc-large-viwikifc")
    model = AutoModelForQuestionAnswering.from_pretrained("SemViQA/vi-mrc-large-viwikifc")
  • Notebooks
  • Google Colab
  • Kaggle
vi-mrc-large-viwikifc
2.25 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
xuandin's picture
xuandin
Update README.md
ae6104d verified about 1 year ago
  • .gitattributes
    1.57 kB
    Upload tokenizer about 1 year ago
  • README.md
    9.3 kB
    Update README.md about 1 year ago
  • config.json
    756 Bytes
    Upload RobertaForQuestionAnswering about 1 year ago
  • model.safetensors
    2.24 GB
    xet
    Upload RobertaForQuestionAnswering about 1 year ago
  • special_tokens_map.json
    964 Bytes
    Upload tokenizer about 1 year ago
  • tokenizer.json
    17.1 MB
    xet
    Upload tokenizer about 1 year ago
  • tokenizer_config.json
    1.18 kB
    Upload tokenizer about 1 year ago