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theArif
/
bert_base_cased_squad2_4

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

Instructions to use theArif/bert_base_cased_squad2_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use theArif/bert_base_cased_squad2_4 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="theArif/bert_base_cased_squad2_4")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("theArif/bert_base_cased_squad2_4")
    model = AutoModelForQuestionAnswering.from_pretrained("theArif/bert_base_cased_squad2_4")
  • Notebooks
  • Google Colab
  • Kaggle
bert_base_cased_squad2_4
432 MB
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  • 1 contributor
History: 3 commits
theArif's picture
theArif
Upload tokenizer
ed9b917 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    710 Bytes
    Upload BertForQuestionAnswering over 3 years ago
  • pytorch_model.bin
    431 MB
    xet
    Upload BertForQuestionAnswering over 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 3 years ago
  • tokenizer.json
    669 kB
    Upload tokenizer over 3 years ago
  • tokenizer_config.json
    556 Bytes
    Upload tokenizer over 3 years ago
  • vocab.txt
    213 kB
    Upload tokenizer over 3 years ago