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deepset
/
roberta-base-squad2-covid

Question Answering
Transformers
PyTorch
JAX
Safetensors
English
roberta
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • Transformers

    How to use deepset/roberta-base-squad2-covid with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="deepset/roberta-base-squad2-covid")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("deepset/roberta-base-squad2-covid")
    model = AutoModelForQuestionAnswering.from_pretrained("deepset/roberta-base-squad2-covid")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-squad2-covid
996 MB
Ctrl+K
Ctrl+K
  • 7 contributors
History: 20 commits
lewtun's picture
lewtun HF Staff
Add evaluation results on the squad_v2 config of squad_v2
71edeb4 over 3 years ago
  • .gitattributes
    391 Bytes
    allow flax about 5 years ago
  • README.md
    4.93 kB
    Add evaluation results on the squad_v2 config of squad_v2 over 3 years ago
  • config.json
    1.27 kB
    Update config.json about 6 years ago
  • flax_model.msgpack
    496 MB
    xet
    upload flax model about 5 years ago
  • merges.txt
    456 kB
    Update merges.txt about 6 years ago
  • pytorch_model.bin
    499 MB
    xet
    Update pytorch_model.bin about 6 years ago
  • special_tokens_map.json
    150 Bytes
    Update special_tokens_map.json about 6 years ago
  • tokenizer_config.json
    190 Bytes
    Update tokenizer_config.json almost 6 years ago
  • vocab.json
    899 kB
    Update vocab.json about 6 years ago