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overfit
/
twiner-bert-base

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

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

  • Libraries
  • Transformers

    How to use overfit/twiner-bert-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="overfit/twiner-bert-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("overfit/twiner-bert-base")
    model = AutoModelForTokenClassification.from_pretrained("overfit/twiner-bert-base")
  • Notebooks
  • Google Colab
  • Kaggle
twiner-bert-base
651 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
patrickvonplaten's picture
patrickvonplaten
allow flax
7bc34c2 almost 5 years ago
  • .gitattributes
    736 Bytes
    allow flax almost 5 years ago
  • .gitignore
    10 Bytes
    fine tunned on parsbert about 5 years ago
  • README.md
    0 Bytes
    Create README.md about 5 years ago
  • config.json
    1.12 kB
    fine tunned on parsbert about 5 years ago
  • special_tokens_map.json
    112 Bytes
    fine tunned on parsbert about 5 years ago
  • tf_model.h5
    649 MB
    xet
    fine tunned on parsbert about 5 years ago
  • tokenizer_config.json
    354 Bytes
    fine tunned on parsbert about 5 years ago
  • vocab.txt
    1.22 MB
    fine tunned on parsbert about 5 years ago