readme: ---
  language: de
  license: cc-by-sa-4.0
  datasets:
    - germeval_14
  tags:
    - German
    - de
    - NER
  ---
  # BERT-DE-NER
  
  ## What is it?
  This is a German BERT model fine-tuned for named entity recognition.
  
  ## Base model & training
  This model is based on [bert-base-german-dbmdz-cased](https://huggingface.co/bert-base-german-dbmdz-cased) and has been fine-tuned
  for NER on the training data from [GermEval2014](https://sites.google.com/site/germeval2014ner).
  
  ## Model results
  The results on the test data from GermEval2014 are (entities only): 
  
  | Precision | Recall | F1-Score |
  |----------:|-------:|---------:|
  |   0.817   |  0.842 |    0.829 |
  
  ## How to use
  ```Python
  >>> from transformers import pipeline
  
  >>> classifier = pipeline('ner', model="fhswf/bert_de_ner")
  >>> classifier('Von der Organisation „medico international“ hieß es, die EU entziehe sich seit vielen Jahren der Verantwortung für die Menschen an ihren Außengrenzen.')
  
  [{'word': 'med', 'score': 0.9996621608734131, 'entity': 'B-ORG', 'index': 6},
   {'word': '##ico', 'score': 0.9995362162590027, 'entity': 'I-ORG', 'index': 7},
   {'word': 'international',
    'score': 0.9996932744979858,
    'entity': 'I-ORG',
    'index': 8},
   {'word': 'eu', 'score': 0.9997008442878723, 'entity': 'B-ORG', 'index': 14}]
  
  ```
  