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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README.md
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license: apache-2.0
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- europeananewspapers2016
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license: apache-2.0
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This is a BERT model for named entity recognition in historical German.
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It predicts the classes `PER`, `LOC` and `ORG`.
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For details, see [https://github.com/qurator-spk/sbb_ner](sbb_ner).
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