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JAlexis
/
Bertv1_fine

Question Answering
Transformers
PyTorch
English
bert
Model card Files Files and versions
xet
Community
1

Instructions to use JAlexis/Bertv1_fine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JAlexis/Bertv1_fine with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="JAlexis/Bertv1_fine")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("JAlexis/Bertv1_fine")
    model = AutoModelForQuestionAnswering.from_pretrained("JAlexis/Bertv1_fine")
  • Notebooks
  • Google Colab
  • Kaggle
Bertv1_fine
432 MB
Ctrl+K
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  • 2 contributors
History: 3 commits
JAlexis's picture
JAlexis
Create README.md
2a512b5 about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • README.md
    2.35 kB
    Create README.md about 4 years ago
  • config.json
    693 Bytes
    commit from about 4 years ago
  • pytorch_model.bin
    431 MB
    xet
    commit from about 4 years ago
  • special_tokens_map.json
    112 Bytes
    commit from about 4 years ago
  • tokenizer.json
    436 kB
    commit from about 4 years ago
  • tokenizer_config.json
    539 Bytes
    commit from about 4 years ago
  • vocab.txt
    213 kB
    commit from about 4 years ago