Instructions to use Conrad747/luganda-ner-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Conrad747/luganda-ner-v5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Conrad747/luganda-ner-v5")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Conrad747/luganda-ner-v5") model = AutoModelForTokenClassification.from_pretrained("Conrad747/luganda-ner-v5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e1aca866624184da9b2e1be923786e1d0f5003d36259731fa02d6fccbced74d3
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size 2235518572
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