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Riiid
/
kda-biobert-large-race

Multiple Choice
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

Instructions to use Riiid/kda-biobert-large-race with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Riiid/kda-biobert-large-race with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultipleChoice
    
    tokenizer = AutoTokenizer.from_pretrained("Riiid/kda-biobert-large-race")
    model = AutoModelForMultipleChoice.from_pretrained("Riiid/kda-biobert-large-race")
  • Notebooks
  • Google Colab
  • Kaggle
kda-biobert-large-race
1.46 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
riiider's picture
riiider
Update README.md
4f9b000 about 3 years ago
  • .gitattributes
    1.43 kB
    initial commit over 3 years ago
  • README.md
    2.59 kB
    Update README.md about 3 years ago
  • config.json
    885 Bytes
    initial commit over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.LongStorage",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    1.46 GB
    xet
    initial commit over 3 years ago
  • special_tokens_map.json
    112 Bytes
    initial commit over 3 years ago
  • tokenizer.json
    1.4 MB
    initial commit over 3 years ago
  • tokenizer_config.json
    366 Bytes
    initial commit over 3 years ago
  • vocab.txt
    467 kB
    initial commit over 3 years ago