Bert De Ner

🚀 BERT-DE-NER

This is a German BERT model fine-tuned for named entity recognition, offering high - performance NER capabilities for German text.

🚀 Quick Start

This German BERT model is specifically fine - tuned for named entity recognition. It can accurately identify named entities in German text, which is very useful for various NLP tasks.

✨ Features

• Fine - tuned for German NER: Specifically optimized for named entity recognition in the German language.
• Based on a well - known base model: Built on [bert - base - german - dbmdz - cased](https://huggingface.co/bert - base - german - dbmdz - cased), leveraging its pre - trained knowledge.

📦 Installation

No specific installation steps are provided in the original document.

💻 Usage Examples

Basic Usage

>>> 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}]

📚 Documentation

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.

Model results

The results on the test data from GermEval2014 are (entities only):

📄 License

This model is licensed under CC - BY - SA - 4.0.