| tags: | |
| - flair | |
| - token-classification | |
| - sequence-tagger-model | |
| language: de | |
| datasets: | |
| - conll2003 | |
| inference: false | |
| ## Flair NER model `de-ner-conll03-v0.4.pt` | |
| Imported from https://nlp.informatik.hu-berlin.de/resources/models/de-ner/ | |
| ### Demo: How to use in Flair | |
| ```python | |
| from flair.data import Sentence | |
| from flair.models import SequenceTagger | |
| sentence = Sentence( | |
| "Mein Name ist Julien, ich lebe zurzeit in Paris, ich arbeite bei Hugging Face, Inc." | |
| ) | |
| tagger = SequenceTagger.load("julien-c/flair-de-ner") | |
| # predict NER tags | |
| tagger.predict(sentence) | |
| # print sentence with predicted tags | |
| print(sentence.to_tagged_string()) | |
| ``` | |
| yields the following output: | |
| > `Mein Name ist Julien <S-PER> , ich lebe zurzeit in Paris <S-LOC> , ich arbeite bei Hugging <B-ORG> Face <E-ORG> , Inc <S-ORG> .` | |
| ### Thanks [@stefan-it](https://huggingface.co/stefan-it) for the Flair integration ❤️ 🔥 | |