# 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}]

```

{"language": "de", "license": "cc-by-sa-4.0", "tags": ["German", "de", "NER"], "datasets": ["germeval_14"]}
transformers pytorch tf jax safetensors bert token-classification German de NER dataset:germeval_14 doi:10.57967/hf/0655 license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tf #jax #safetensors #bert #token-classification #German #de #NER #dataset-germeval_14 #doi-10.57967/hf/0655 #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 

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 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):



How to use
----------



TAGS
#transformers #pytorch #tf #jax #safetensors #bert #token-classification #German #de #NER #dataset-germeval_14 #doi-10.57967/hf/0655 #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #tf #jax #safetensors #bert #token-classification #German #de #NER #dataset-germeval_14 #doi-10.57967/hf/0655 #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
