Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

avecoder
/
bert-finetuned-squad

Question Answering
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
3

Instructions to use avecoder/bert-finetuned-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use avecoder/bert-finetuned-squad with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="avecoder/bert-finetuned-squad")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("avecoder/bert-finetuned-squad")
    model = AutoModelForQuestionAnswering.from_pretrained("avecoder/bert-finetuned-squad")
  • Notebooks
  • Google Colab
  • Kaggle
bert-finetuned-squad / runs
52.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
avecoder's picture
avecoder
Training complete
d603bbd almost 3 years ago
  • Jul03_11-44-16_b0534b6b4476
    Training complete almost 3 years ago
  • Jun29_10-43-03_ea2434b99fa3
    Training complete almost 3 years ago
  • Jun29_16-51-49_3854cd6c01ed
    Training in progress, epoch 2 almost 3 years ago
  • Jun30_14-40-04_c08dad80f651
    Training in progress, epoch 1 almost 3 years ago