Instructions to use SBB/sbb_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SBB/sbb_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="SBB/sbb_ner")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SBB/sbb_ner", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da14a451e0e5438780e3d4e5d640b5138ffe26bfc6939b1a3ff5dd300cadba00
- Size of remote file:
- 711 MB
- SHA256:
- 9c46270bed10224037fbc3b15f9e7fad4ecb44d93e10dd0a5d666551678fccfb
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