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philschmid
/
distilbert-onnx

Question Answering
Transformers
ONNX
English
distilbert
Model card Files Files and versions
xet
Community
3

Instructions to use philschmid/distilbert-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use philschmid/distilbert-onnx with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="philschmid/distilbert-onnx")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("philschmid/distilbert-onnx")
    model = AutoModelForQuestionAnswering.from_pretrained("philschmid/distilbert-onnx")
  • Notebooks
  • Google Colab
  • Kaggle
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  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

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

#3 opened 22 days ago by
vigneshwar234

model documentation

1
#2 opened over 3 years ago by
nazneen
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