Instructions to use Conrad747/luganda-ner-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Conrad747/luganda-ner-v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Conrad747/luganda-ner-v4")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Conrad747/luganda-ner-v4") model = AutoModelForTokenClassification.from_pretrained("Conrad747/luganda-ner-v4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 019e43a0a764b98c126b11c6f346deaa140640561ec9e5f02c1f7ff3e1254ca1
- Size of remote file:
- 3.58 kB
- SHA256:
- 4534fd36c475b65e9d73ad06ddba516c1f29f2e810c10c402e7dc4e16be25a72
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