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ankur310794
/
bert-large-uncased-nq-small-answer

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

Instructions to use ankur310794/bert-large-uncased-nq-small-answer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ankur310794/bert-large-uncased-nq-small-answer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="ankur310794/bert-large-uncased-nq-small-answer")
    # Load model directly
    from transformers import AutoTokenizer, TF_AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("ankur310794/bert-large-uncased-nq-small-answer")
    model = TF_AutoModelForQuestionAnswering.from_pretrained("ankur310794/bert-large-uncased-nq-small-answer", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bert-large-uncased-nq-small-answer
1.34 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 8 commits
patrickvonplaten's picture
patrickvonplaten
allow flax
21788bf over 5 years ago
  • .gitattributes
    782 Bytes
    allow flax over 5 years ago
  • README.md
    1.14 kB
    updated over 5 years ago
  • added_tokens.json
    519 Bytes
    Update from over 5 years ago
  • config.json
    618 Bytes
    tf based qa over 5 years ago
  • special_tokens_map.json
    112 Bytes
    Update from over 5 years ago
  • tf_model.h5
    1.34 GB
    xet
    Update from over 5 years ago
  • tokenizer_config.json
    286 Bytes
    Update from over 5 years ago
  • vocab.txt
    232 kB
    Update from over 5 years ago