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
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### Software
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See published code on [
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# Citation
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# Model Card Contact
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Questions and comments about the model can be directed to
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# How to Get Started with the Model
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### Software
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See published code on [GitHub](https://github.com/qurator-spk/sbb_ner).
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# Citation
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# Model Card Contact
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Questions and comments about the model can be directed to Kai Labusch at kai.labusch@sbb.spk-berlin.de, questions and comments about the model card can be directed to Jörg Lehmann at joerg.lehmann@sbb.spk-berlin.de
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# How to Get Started with the Model
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