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Beijuka
/
luganda-ner-bert-v7

Token Classification
Transformers
Safetensors
Ganda
bert
named-entity-recognition
luganda
african-languages
pii-detection
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use Beijuka/luganda-ner-bert-v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Beijuka/luganda-ner-bert-v7 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Beijuka/luganda-ner-bert-v7")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Beijuka/luganda-ner-bert-v7")
    model = AutoModelForTokenClassification.from_pretrained("Beijuka/luganda-ner-bert-v7", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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Preview of files found in this repository
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    3.25 kB
    End of training about 1 year ago
  • config.json
    1.84 kB
    Training in progress, epoch 1 about 1 year ago
  • model.safetensors
    709 MB
    xet
    End of training about 1 year ago
  • special_tokens_map.json
    125 Bytes
    Training in progress, epoch 1 about 1 year ago
  • tokenizer.json
    2.92 MB
    Training in progress, epoch 1 about 1 year ago
  • tokenizer_config.json
    1.25 kB
    Training in progress, epoch 1 about 1 year ago
  • training_args.bin
    5.37 kB
    xet
    Training in progress, epoch 1 about 1 year ago
  • vocab.txt
    996 kB
    Training in progress, epoch 1 about 1 year ago