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WaRKiD
/
bert-large-uncased-whole-word-masking-finetuned-intel-oneapi-llm-dataset

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

Instructions to use WaRKiD/bert-large-uncased-whole-word-masking-finetuned-intel-oneapi-llm-dataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use WaRKiD/bert-large-uncased-whole-word-masking-finetuned-intel-oneapi-llm-dataset with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="WaRKiD/bert-large-uncased-whole-word-masking-finetuned-intel-oneapi-llm-dataset")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("WaRKiD/bert-large-uncased-whole-word-masking-finetuned-intel-oneapi-llm-dataset")
    model = AutoModelForQuestionAnswering.from_pretrained("WaRKiD/bert-large-uncased-whole-word-masking-finetuned-intel-oneapi-llm-dataset")
  • Notebooks
  • Google Colab
  • Kaggle
bert-large-uncased-whole-word-masking-finetuned-intel-oneapi-llm-dataset
1.34 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
WaRKiD's picture
WaRKiD
Upload tokenizer
711cfa7 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    2.56 kB
    Upload TFBertForQuestionAnswering over 2 years ago
  • added_tokens.json
    82 Bytes
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  • config.json
    647 Bytes
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  • special_tokens_map.json
    125 Bytes
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  • tf_model.h5
    1.34 GB
    xet
    Upload TFBertForQuestionAnswering over 2 years ago
  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    1.23 kB
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  • vocab.txt
    232 kB
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