Token Classification
Transformers
PyTorch
Safetensors
xlm-roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use Conrad747/luganda-ner-v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Conrad747/luganda-ner-v6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Conrad747/luganda-ner-v6")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Conrad747/luganda-ner-v6") model = AutoModelForTokenClassification.from_pretrained("Conrad747/luganda-ner-v6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22453aacd66f944bab0a2e5db173ddef2fc09914392f926eda9fe45305a67b03
- Size of remote file:
- 1.11 GB
- SHA256:
- 871872c759af59957578813bff68362259283eb7c2173ae4b5b197845237e87a
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