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Ruth
/
gbert-large-germaner

Token Classification
Transformers
google-tensorflow TensorFlow
TensorBoard
German
bert
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use Ruth/gbert-large-germaner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Ruth/gbert-large-germaner with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Ruth/gbert-large-germaner")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Ruth/gbert-large-germaner")
    model = AutoModelForTokenClassification.from_pretrained("Ruth/gbert-large-germaner")
  • Notebooks
  • Google Colab
  • Kaggle
gbert-large-germaner
1.35 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
Ruth's picture
Ruth
Upload eval_metrics.json
56577b3 about 4 years ago
  • logs
    Training in progress epoch 4 about 4 years ago
  • .gitattributes
    1.17 kB
    initial commit about 4 years ago
  • README.md
    1.58 kB
    Upload README.md about 4 years ago
  • config.json
    971 Bytes
    Training in progress epoch 0 about 4 years ago
  • eval_metrics.json
    604 Bytes
    Upload eval_metrics.json about 4 years ago
  • special_tokens_map.json
    112 Bytes
    Training in progress epoch 0 about 4 years ago
  • tf_model.h5
    1.34 GB
    xet
    End of training about 4 years ago
  • tokenizer.json
    729 kB
    Training in progress epoch 0 about 4 years ago
  • tokenizer_config.json
    364 Bytes
    Training in progress epoch 0 about 4 years ago
  • vocab.txt
    240 kB
    Training in progress epoch 0 about 4 years ago