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elgeish
/
cs224n-squad2.0-roberta-base

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

Instructions to use elgeish/cs224n-squad2.0-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use elgeish/cs224n-squad2.0-roberta-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="elgeish/cs224n-squad2.0-roberta-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("elgeish/cs224n-squad2.0-roberta-base")
    model = AutoModelForQuestionAnswering.from_pretrained("elgeish/cs224n-squad2.0-roberta-base")
  • Notebooks
  • Google Colab
  • Kaggle
cs224n-squad2.0-roberta-base
995 MB
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  • 2 contributors
History: 9 commits
patrickvonplaten's picture
patrickvonplaten
upload flax model
163f9ed about 5 years ago
  • .gitattributes
    391 Bytes
    allow flax about 5 years ago
  • README.md
    2.86 kB
    Migrate model card from transformers-repo over 5 years ago
  • config.json
    496 Bytes
    Update config.json about 6 years ago
  • flax_model.msgpack
    496 MB
    xet
    upload flax model about 5 years ago
  • pytorch_model.bin
    499 MB
    xet
    Update pytorch_model.bin over 6 years ago
  • special_tokens_map.json
    150 Bytes
    Update special_tokens_map.json over 6 years ago
  • tokenizer_config.json
    39 Bytes
    Update tokenizer_config.json over 6 years ago