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Intel
/
dynamic_tinybert

Question Answering
Transformers
PyTorch
English
bert
Eval Results (legacy)
Model card Files Files and versions
xet
Community
7

Instructions to use Intel/dynamic_tinybert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Intel/dynamic_tinybert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="Intel/dynamic_tinybert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("Intel/dynamic_tinybert")
    model = AutoModelForQuestionAnswering.from_pretrained("Intel/dynamic_tinybert")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
dynamic_tinybert / onnx
Ctrl+K
Ctrl+K
  • 4 contributors
History: 1 commit
rdawebb's picture
rdawebb
Adding ONNX file of this model
84b3459 verified 7 months ago
  • config.json
    759 Bytes
    Adding ONNX file of this model 7 months ago
  • model.onnx
    266 MB
    xet
    Adding ONNX file of this model 7 months ago
  • special_tokens_map.json
    695 Bytes
    Adding ONNX file of this model 7 months ago
  • tokenizer.json
    711 kB
    Adding ONNX file of this model 7 months ago
  • tokenizer_config.json
    1.3 kB
    Adding ONNX file of this model 7 months ago
  • vocab.txt
    232 kB
    Adding ONNX file of this model 7 months ago