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--- |
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language: de |
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datasets: |
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- Legal-Entity-Recognition |
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--- |
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### German BERT for Legal NER |
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#### Use: |
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```python |
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from transformers import pipeline |
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from transformers import AutoTokenizer, AutoModelForTokenClassification |
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tokenizer = AutoTokenizer.from_pretrained("harshildarji/gbert-legal-ner", use_auth_token="AUTH_TOKEN") |
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model = AutoModelForTokenClassification.from_pretrained("harshildarji/gbert-legal-ner", use_auth_token="AUTH_TOKEN") |
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ner = pipeline("ner", model=model, tokenizer=tokenizer) |
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example = "1. Das Bundesarbeitsgericht ist gemäß § 9 Abs. 2 Satz 2 ArbGG iVm. § 201 Abs. 1 Satz 2 GVG für die beabsichtigte Klage gegen den Bund zuständig ." |
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results = ner(example) |
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print(results) |
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``` |
