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--- |
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language: de |
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tags: |
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- pytorch |
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- tf |
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- bert |
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- NER |
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datasets: |
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- legal entity recognition |
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--- |
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### NER model trained on BERT |
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MODEL used for fine tuning is GBERT Large by deepset.ai |
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## Test |
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Accuracy: 98 |
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F1: 84.1 |
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Precision: 82.7 |
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Recall: 85.5 |
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## Model inferencing: |
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```python |
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!pip install -q transformers |
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from transformers import pipeline |
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ner = pipeline( |
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"ner", |
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model="Sahajtomar/NER_legal_de", |
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tokenizer="Sahajtomar/NER_legal_de") |
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nlp_ner("Für eine Zuständigkeit des Verwaltungsgerichts Berlin nach § 52 Nr. 1 bis 4 VwGO hat der \ |
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Antragsteller keine Anhaltspunkte vorgetragen .") |
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``` |
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