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deepset
/
xlm-roberta-large-squad2

Question Answering
Transformers
PyTorch
Safetensors
multilingual
xlm-roberta
Eval Results (legacy)
Model card Files Files and versions
xet
Community
7

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="deepset/xlm-roberta-large-squad2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("deepset/xlm-roberta-large-squad2")
    model = AutoModelForQuestionAnswering.from_pretrained("deepset/xlm-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

#7 opened 12 days ago by
vigneshwar234

I get an error when using the model with transformers

#6 opened about 3 years ago by
MohamedNumair
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