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dmis-lab
/
biobert-base-cased-v1.1-squad

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

Instructions to use dmis-lab/biobert-base-cased-v1.1-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dmis-lab/biobert-base-cased-v1.1-squad with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="dmis-lab/biobert-base-cased-v1.1-squad")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("dmis-lab/biobert-base-cased-v1.1-squad")
    model = AutoModelForQuestionAnswering.from_pretrained("dmis-lab/biobert-base-cased-v1.1-squad")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
biobert-base-cased-v1.1-squad
864 MB
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  • 1 contributor
History: 6 commits
patrickvonplaten's picture
patrickvonplaten
upload flax model
aa11b70 about 5 years ago
  • .gitattributes
    391 Bytes
    allow flax about 5 years ago
  • config.json
    477 Bytes
    Update config.json over 5 years ago
  • flax_model.msgpack
    431 MB
    xet
    upload flax model about 5 years ago
  • pytorch_model.bin
    433 MB
    xet
    Update pytorch_model.bin over 5 years ago
  • vocab.txt
    213 kB
    Update vocab.txt over 5 years ago