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ssh2025
/
brunei-malay-normalizer-v3

Token Classification
Transformers
Safetensors
Malay
Brunei
xlm-roberta
brunei-malay
standard-malay
text-normalization
constrained-editing
Model card Files Files and versions
xet
Community

Instructions to use ssh2025/brunei-malay-normalizer-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ssh2025/brunei-malay-normalizer-v3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="ssh2025/brunei-malay-normalizer-v3")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ssh2025/brunei-malay-normalizer-v3")
    model = AutoModelForTokenClassification.from_pretrained("ssh2025/brunei-malay-normalizer-v3", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
brunei-malay-normalizer-v3 / bmb_normalizer
62.3 kB
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  • 1 contributor
History: 1 commit
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ssh2025
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a804a2f verified about 1 month ago
  • __init__.py
    69 Bytes
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  • edit_candidates_v3.py
    3.35 kB
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  • edit_policy_v3.py
    33.6 kB
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  • edit_tags_v3.py
    17 kB
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  • immutable_spans_v3.py
    3.39 kB
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  • runtime.py
    4.9 kB
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