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dbmdz
/
bert-tiny-historic-multilingual-cased

Fill-Mask
Transformers
PyTorch
google-tensorflow TensorFlow
TensorBoard
Safetensors
multilingual
bert
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use dbmdz/bert-tiny-historic-multilingual-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dbmdz/bert-tiny-historic-multilingual-cased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="dbmdz/bert-tiny-historic-multilingual-cased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("dbmdz/bert-tiny-historic-multilingual-cased")
    model = AutoModelForMaskedLM.from_pretrained("dbmdz/bert-tiny-historic-multilingual-cased")
  • Notebooks
  • Google Colab
  • Kaggle
bert-tiny-historic-multilingual-cased / stats
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  • 2 contributors
History: 1 commit
stefan-it's picture
stefan-it
readme: add initial version
1e92d67 over 4 years ago
  • figures
    readme: add initial version over 4 years ago