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Setur
/
BRAGD

Token Classification
Transformers
Safetensors
Faroese
xlm-roberta
faroese
pos-tagging
morphology
lrec-coling-2026
Model card Files Files and versions
xet
Community

Instructions to use Setur/BRAGD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Setur/BRAGD with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Setur/BRAGD")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Setur/BRAGD")
    model = AutoModelForTokenClassification.from_pretrained("Setur/BRAGD")
  • Notebooks
  • Google Colab
  • Kaggle
BRAGD
501 MB
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  • 1 contributor
History: 5 commits
unijoh's picture
unijoh
Upload 8 files
4484de8 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    7.94 kB
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  • config.json
    4.03 kB
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  • constraint_mask.json
    1.55 kB
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  • model.safetensors
    496 MB
    xet
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  • sentencepiece.bpe.model
    1.08 MB
    xet
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  • special_tokens_map.json
    1.01 kB
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  • tag_mappings.json
    104 kB
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  • tokenizer.json
    3.73 MB
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  • tokenizer_config.json
    1.25 kB
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