Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

SRDdev
/
QuAC-QA-BERT

Question Answering
Transformers
PyTorch
TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use SRDdev/QuAC-QA-BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SRDdev/QuAC-QA-BERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="SRDdev/QuAC-QA-BERT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("SRDdev/QuAC-QA-BERT")
    model = AutoModelForQuestionAnswering.from_pretrained("SRDdev/QuAC-QA-BERT")
  • Notebooks
  • Google Colab
  • Kaggle
QuAC-QA-BERT / runs
13.2 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
SRDdev's picture
SRDdev
Training complete
a1ffe17 about 3 years ago
  • Apr22_09-18-05_9e212bc8d386
    Training complete about 3 years ago