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dosai
/
bert-sudb

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

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

  • Libraries
  • Transformers

    How to use dosai/bert-sudb with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="dosai/bert-sudb")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("dosai/bert-sudb")
    model = AutoModelForQuestionAnswering.from_pretrained("dosai/bert-sudb")
  • Notebooks
  • Google Colab
  • Kaggle
bert-sudb
671 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
dosai's picture
dosai
Training in progress epoch 2
39dc26e almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    1.45 kB
    Training in progress epoch 2 almost 3 years ago
  • config.json
    861 Bytes
    Training in progress epoch 0 almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Training in progress epoch 0 almost 3 years ago
  • tf_model.h5
    667 MB
    xet
    Training in progress epoch 2 almost 3 years ago
  • tokenizer.json
    2.56 MB
    Training in progress epoch 0 almost 3 years ago
  • tokenizer_config.json
    314 Bytes
    Training in progress epoch 0 almost 3 years ago
  • vocab.txt
    872 kB
    Training in progress epoch 0 almost 3 years ago