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deepset
/
tinybert-6l-768d-squad2

Question Answering
Transformers
PyTorch
Safetensors
English
bert
exbert
Eval Results (legacy)
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xet
Community
5

Instructions to use deepset/tinybert-6l-768d-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use deepset/tinybert-6l-768d-squad2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="deepset/tinybert-6l-768d-squad2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("deepset/tinybert-6l-768d-squad2")
    model = AutoModelForQuestionAnswering.from_pretrained("deepset/tinybert-6l-768d-squad2")
  • Notebooks
  • Google Colab
  • Kaggle
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  • Hub documentation

Add evaluation results on the adversarialQA config of adversarial_qa

#2 opened almost 4 years ago by
autoevaluator
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