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deepset
/
roberta-large-squad2

Question Answering
Transformers
PyTorch
JAX
Safetensors
English
roberta
Eval Results (legacy)
Model card Files Files and versions
xet
Community
6

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

  • Libraries
  • Transformers

    How to use deepset/roberta-large-squad2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="deepset/roberta-large-squad2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("deepset/roberta-large-squad2")
    model = AutoModelForQuestionAnswering.from_pretrained("deepset/roberta-large-squad2")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

TemporalMesh Transformer: 29.4 PPL at 48% compute — beats Mamba, new open-source architecture

#6 opened about 20 hours ago by
vigneshwar234

Request: DOI

#4 opened about 2 years ago by
bsna1988
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