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deepset
/
bert-base-german-cased-oldvocab

Fill-Mask
Transformers
PyTorch
JAX
German
bert
exbert
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use deepset/bert-base-german-cased-oldvocab with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="deepset/bert-base-german-cased-oldvocab")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("deepset/bert-base-german-cased-oldvocab")
    model = AutoModelForMaskedLM.from_pretrained("deepset/bert-base-german-cased-oldvocab")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-german-cased-oldvocab
876 MB
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  • 3 contributors
History: 13 commits
julianrisch's picture
julianrisch
Update README.md
47ec59a verified over 1 year ago
  • .gitattributes
    391 Bytes
    allow flax about 5 years ago
  • README.md
    2.32 kB
    Update README.md over 1 year ago
  • config.json
    433 Bytes
    Update config.json about 6 years ago
  • flax_model.msgpack
    436 MB
    xet
    upload flax model about 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    439 MB
    xet
    Update pytorch_model.bin about 6 years ago
  • tokenizer_config.json
    41 Bytes
    Update tokenizer_config.json about 6 years ago
  • vocab.txt
    254 kB
    Update vocab.txt about 6 years ago