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wolinski
/
constituency-brackets-20

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

Instructions to use wolinski/constituency-brackets-20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use wolinski/constituency-brackets-20 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="wolinski/constituency-brackets-20")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("wolinski/constituency-brackets-20")
    model = AutoModelForTokenClassification.from_pretrained("wolinski/constituency-brackets-20")
  • Notebooks
  • Google Colab
  • Kaggle
constituency-brackets-20
500 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
wolinski's picture
wolinski
librarian-bot's picture
librarian-bot
Librarian Bot: Add base_model information to model (#1)
c73a7e8 over 2 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    2.78 kB
    Librarian Bot: Add base_model information to model (#1) over 2 years ago
  • config.json
    3.23 kB
    Upload TFBertForTokenClassification over 3 years ago
  • merges.txt
    556 kB
    Upload tokenizer over 3 years ago
  • special_tokens_map.json
    144 Bytes
    Upload tokenizer over 3 years ago
  • tf_model.h5
    496 MB
    xet
    Upload TFBertForTokenClassification over 3 years ago
  • tokenizer.json
    2.3 MB
    Upload tokenizer over 3 years ago
  • tokenizer_config.json
    558 Bytes
    Upload tokenizer over 3 years ago
  • vocab.json
    907 kB
    Upload tokenizer over 3 years ago