Token Classification
Transformers
Safetensors
Ganda
bert
named-entity-recognition
luganda
african-languages
pii-detection
Generated from Trainer
Eval Results (legacy)
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") - Notebooks
- Google Colab
- Kaggle
Gated model You can list files but not access them
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