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LucaLobefalo
/
bert-uncased

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

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

  • Libraries
  • Transformers

    How to use LucaLobefalo/bert-uncased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="LucaLobefalo/bert-uncased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("LucaLobefalo/bert-uncased")
    model = AutoModelForQuestionAnswering.from_pretrained("LucaLobefalo/bert-uncased")
  • Notebooks
  • Google Colab
  • Kaggle
bert-uncased
437 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
LucaLobefalo's picture
LucaLobefalo
Training in progress epoch 2
d0c9b51 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    1.44 kB
    Training in progress epoch 2 almost 3 years ago
  • config.json
    645 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
    436 MB
    xet
    Training in progress epoch 2 almost 3 years ago
  • tokenizer.json
    711 kB
    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
    232 kB
    Training in progress epoch 0 almost 3 years ago