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joelniklaus
/
gbert-base-ler

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

Instructions to use joelniklaus/gbert-base-ler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use joelniklaus/gbert-base-ler with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="joelniklaus/gbert-base-ler")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("joelniklaus/gbert-base-ler")
    model = AutoModelForTokenClassification.from_pretrained("joelniklaus/gbert-base-ler")
  • Notebooks
  • Google Colab
  • Kaggle
gbert-base-ler
566 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
patrickvonplaten's picture
patrickvonplaten
allow flax
8a45200 about 5 years ago
  • .gitattributes
    391 Bytes
    allow flax about 5 years ago
  • README.md
    128 Bytes
    added model files over 5 years ago
  • config.json
    2.24 kB
    added model files over 5 years ago
  • pytorch_model.bin
    126 MB
    xet
    added model files over 5 years ago
  • special_tokens_map.json
    112 Bytes
    added model files over 5 years ago
  • tf_model.h5
    440 MB
    xet
    added model files over 5 years ago
  • tokenizer_config.json
    327 Bytes
    added model files over 5 years ago
  • vocab.txt
    240 kB
    added model files over 5 years ago