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intanm
/
mbert-squadv2

Question Answering
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use intanm/mbert-squadv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use intanm/mbert-squadv2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="intanm/mbert-squadv2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("intanm/mbert-squadv2")
    model = AutoModelForQuestionAnswering.from_pretrained("intanm/mbert-squadv2")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#2 opened 12 months ago by
SFconvertbot

Librarian Bot: Add base_model information to model

#1 opened over 2 years ago by
librarian-bot
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