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DevCar
/
roberta-base-bne-finetuned-sqac

Question Answering
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use DevCar/roberta-base-bne-finetuned-sqac with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DevCar/roberta-base-bne-finetuned-sqac with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="DevCar/roberta-base-bne-finetuned-sqac")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("DevCar/roberta-base-bne-finetuned-sqac")
    model = AutoModelForQuestionAnswering.from_pretrained("DevCar/roberta-base-bne-finetuned-sqac")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-bne-finetuned-sqac
500 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
DevCar's picture
DevCar
End of training
a7a617b verified almost 2 years ago
  • runs
    Model save almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    1.09 kB
    Model save almost 2 years ago
  • config.json
    729 Bytes
    Training in progress, step 500 almost 2 years ago
  • merges.txt
    509 kB
    Training in progress, step 500 almost 2 years ago
  • model.safetensors
    496 MB
    xet
    Training in progress, step 1196 almost 2 years ago
  • special_tokens_map.json
    957 Bytes
    Training in progress, step 500 almost 2 years ago
  • tokenizer.json
    2.21 MB
    Training in progress, step 500 almost 2 years ago
  • tokenizer_config.json
    1.23 kB
    Training in progress, step 500 almost 2 years ago
  • training_args.bin
    4.66 kB
    xet
    Training in progress, step 500 almost 2 years ago
  • vocab.json
    851 kB
    Training in progress, step 500 almost 2 years ago