Instructions to use Hailay/VEXMLM-Tigrinya-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hailay/VEXMLM-Tigrinya-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Hailay/VEXMLM-Tigrinya-NER")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Hailay/VEXMLM-Tigrinya-NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cc75e4bbb1c184773fb1d3f2f8e504413b9150a34fea6817d1255150686258a
- Size of remote file:
- 19.1 MB
- SHA256:
- e3f61da7ee5658d8fffacfd0ca08e92105810fe51b8c6994b249722c5c586c81
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