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internetoftim
/
BERT-Finetuning-Demo

Question Answering
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

Instructions to use internetoftim/BERT-Finetuning-Demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use internetoftim/BERT-Finetuning-Demo with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="internetoftim/BERT-Finetuning-Demo")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("internetoftim/BERT-Finetuning-Demo")
    model = AutoModelForQuestionAnswering.from_pretrained("internetoftim/BERT-Finetuning-Demo")
  • Notebooks
  • Google Colab
  • Kaggle
BERT-Finetuning-Demo
1.34 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
internetoftim's picture
internetoftim
add model
56c37e5 about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • config.json
    685 Bytes
    add model about 4 years ago
  • pytorch_model.bin
    1.34 GB
    xet
    add model about 4 years ago
  • special_tokens_map.json
    112 Bytes
    add tokenizer about 4 years ago
  • tokenizer.json
    466 kB
    add tokenizer about 4 years ago
  • tokenizer_config.json
    321 Bytes
    add tokenizer about 4 years ago
  • vocab.txt
    232 kB
    add tokenizer about 4 years ago