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deepset
/
gbert-base

Fill-Mask
Transformers
PyTorch
google-tensorflow TensorFlow
Safetensors
German
Model card Files Files and versions
xet
Community
4

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

  • Libraries
  • Transformers

    How to use deepset/gbert-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="deepset/gbert-base")
    # Load model directly
    from transformers import AutoModelForMaskedLM
    model = AutoModelForMaskedLM.from_pretrained("deepset/gbert-base", dtype="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
gbert-base
540 MB
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  • 5 contributors
History: 11 commits
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system HF Staff
Update tf_model.h5
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  • .gitattributes
    345 Bytes
    initial commit over 5 years ago
  • config.json
    314 Bytes
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  • tf_model.h5
    540 MB
    xet
    Update tf_model.h5 over 5 years ago
  • tokenizer_config.json
    83 Bytes
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  • vocab.txt
    240 kB
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