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fpuentes
/
bert-galician

Fill-Mask
Transformers
PyTorch
Galician
bert
feature-extraction
Model card Files Files and versions
xet
Community
1

Instructions to use fpuentes/bert-galician with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use fpuentes/bert-galician with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="fpuentes/bert-galician")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("fpuentes/bert-galician")
    model = AutoModel.from_pretrained("fpuentes/bert-galician")
  • Notebooks
  • Google Colab
  • Kaggle
bert-galician
440 MB
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  • 1 contributor
History: 16 commits
fpuentes's picture
fpuentes
Update README.md
669aa3a over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    927 Bytes
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  • config.json
    715 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    439 MB
    xet
    Upload model over 3 years ago
  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    729 kB
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  • tokenizer_config.json
    570 Bytes
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  • vocab.txt
    242 kB
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