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FooJiaYin
/
bert-context-selection

Multiple Choice
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community

Instructions to use FooJiaYin/bert-context-selection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use FooJiaYin/bert-context-selection with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultipleChoice
    
    tokenizer = AutoTokenizer.from_pretrained("FooJiaYin/bert-context-selection")
    model = AutoModelForMultipleChoice.from_pretrained("FooJiaYin/bert-context-selection")
  • Notebooks
  • Google Colab
  • Kaggle
bert-context-selection
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  • 1 contributor
History: 3 commits
FooJiaYin's picture
FooJiaYin
Step 28592
ae3ceea almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    21 Bytes
    initial commit almost 3 years ago
  • all_results.json
    403 Bytes
    Step 28592 almost 3 years ago
  • config.json
    826 Bytes
    Step 28592 almost 3 years ago
  • eval_results.json
    210 Bytes
    Step 28592 almost 3 years ago
  • optimizer.pt
    814 MB
    xet
    Step 9500 almost 3 years ago
  • pytorch_model.bin
    144 MB
    xet
    Step 28592 almost 3 years ago
  • rng_state.pth
    14.6 kB
    xet
    Step 9500 almost 3 years ago
  • scheduler.pt
    623 Bytes
    xet
    Step 9500 almost 3 years ago
  • special_tokens_map.json
    112 Bytes
    Step 9500 almost 3 years ago
  • tokenizer.json
    439 kB
    Step 28592 almost 3 years ago
  • tokenizer_config.json
    322 Bytes
    Step 9500 almost 3 years ago
  • train_results.json
    195 Bytes
    Step 28592 almost 3 years ago
  • trainer_state.json
    7.56 kB
    Step 28592 almost 3 years ago
  • training_args.bin
    3.06 kB
    xet
    Step 28592 almost 3 years ago
  • vocab.txt
    110 kB
    Step 9500 almost 3 years ago