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ShynBui
/
vi_qa

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

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

  • Libraries
  • Transformers

    How to use ShynBui/vi_qa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="ShynBui/vi_qa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("ShynBui/vi_qa")
    model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/vi_qa")
  • Notebooks
  • Google Colab
  • Kaggle

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Gated model
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Preview of files found in this repository
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    919 Bytes
    Training complete over 2 years ago
  • added_tokens.json
    22 Bytes
    Training in progress, epoch 1 over 2 years ago
  • bpe.codes
    1.14 MB
    Training in progress, epoch 1 over 2 years ago
  • config.json
    759 Bytes
    Training in progress, epoch 1 over 2 years ago
  • pytorch_model.bin
    1.47 GB
    xet
    Training in progress, epoch 1 over 2 years ago
  • special_tokens_map.json
    965 Bytes
    Training in progress, epoch 1 over 2 years ago
  • tokenizer_config.json
    1.14 kB
    Training in progress, epoch 1 over 2 years ago
  • training_args.bin
    4.54 kB
    xet
    Training in progress, epoch 1 over 2 years ago
  • vocab.txt
    895 kB
    Training in progress, epoch 1 over 2 years ago