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marcosgg
/
bert-base-gl-cased

Fill-Mask
Transformers
PyTorch
Galician
Portuguese
bert
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use marcosgg/bert-base-gl-cased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="marcosgg/bert-base-gl-cased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("marcosgg/bert-base-gl-cased")
    model = AutoModelForMaskedLM.from_pretrained("marcosgg/bert-base-gl-cased")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-gl-cased
715 MB
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  • 1 contributor
History: 13 commits
marcosgg's picture
marcosgg
Update README.md
89fde9b over 3 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    1.18 kB
    Update README.md over 3 years ago
  • config.json
    1.21 kB
    Upload config.json over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    714 MB
    xet
    Upload pytorch_model.bin with git-lfs over 4 years ago
  • special_tokens_map.json
    112 Bytes
    Upload special_tokens_map.json over 4 years ago
  • tokenizer_config.json
    57 Bytes
    Upload tokenizer_config.json over 4 years ago
  • vocab.txt
    988 kB
    Upload vocab.txt over 4 years ago