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peterhsu
/
tf-bert-finetuned-squad

Question Answering
Transformers
google-tensorflow TensorFlow
bert
generated_from_keras_callback
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use peterhsu/tf-bert-finetuned-squad with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="peterhsu/tf-bert-finetuned-squad")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("peterhsu/tf-bert-finetuned-squad")
    model = AutoModelForQuestionAnswering.from_pretrained("peterhsu/tf-bert-finetuned-squad")
  • Notebooks
  • Google Colab
  • Kaggle
tf-bert-finetuned-squad
432 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
peterhsu's picture
peterhsu
add model
8c89c63 about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • README.md
    1.46 kB
    add model about 4 years ago
  • config.json
    660 Bytes
    Training in progress epoch 0 about 4 years ago
  • special_tokens_map.json
    112 Bytes
    add model about 4 years ago
  • tf_model.h5
    431 MB
    xet
    add model about 4 years ago
  • tokenizer.json
    669 kB
    add model about 4 years ago
  • tokenizer_config.json
    320 Bytes
    add model about 4 years ago
  • vocab.txt
    213 kB
    add model about 4 years ago