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marcosgg
/
bert-base-gl-SLI-NER

Token Classification
Transformers
PyTorch
Galician
Portuguese
bert
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="marcosgg/bert-base-gl-SLI-NER")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("marcosgg/bert-base-gl-SLI-NER")
    model = AutoModelForTokenClassification.from_pretrained("marcosgg/bert-base-gl-SLI-NER")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-gl-SLI-NER
713 MB
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  • 1 contributor
History: 8 commits
marcosgg's picture
marcosgg
Update README.md
d5a1e3d over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    765 Bytes
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  • config.json
    1.26 kB
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    709 MB
    xet
    Upload 5 files over 3 years ago
  • special_tokens_map.json
    112 Bytes
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  • tokenizer.json
    2.91 MB
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  • tokenizer_config.json
    377 Bytes
    Update tokenizer_config.json over 3 years ago
  • vocab.txt
    988 kB
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