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mrmoor
/
cti-bert-ner

Token Classification
Transformers
google-tensorflow TensorFlow
TensorBoard
bert
generated_from_keras_callback
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use mrmoor/cti-bert-ner with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="mrmoor/cti-bert-ner")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mrmoor/cti-bert-ner")
    model = AutoModelForTokenClassification.from_pretrained("mrmoor/cti-bert-ner")
  • Notebooks
  • Google Colab
  • Kaggle
cti-bert-ner
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
mrmoor's picture
mrmoor
End of training
6099d49 over 3 years ago
  • logs
    End of training over 3 years ago
  • .gitattributes
    1.43 kB
    initial commit over 3 years ago
  • README.md
    1.71 kB
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  • config.json
    1.56 kB
    Training in progress epoch 0 over 3 years ago
  • special_tokens_map.json
    125 Bytes
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  • tf_model.h5
    436 MB
    xet
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  • tokenizer.json
    172 kB
    Training in progress epoch 0 over 3 years ago
  • tokenizer_config.json
    356 Bytes
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  • vocab.txt
    58.8 kB
    Training in progress epoch 0 over 3 years ago