[Question]: Get NER text and labels separately (and lack of API documentation)

[alxgrh]

Question

Hello Flair team,
and thank you for your great project!

I'm trying to use Flair for named entity recognition task. I need to get text and associated label separately. Unfortunately documentation examples contain only code for printing entire NER.
So far I've come to this solution

for entity in sentence.get_spans('ner'):
    text = ' '.join([token.text for token in entity.annotation_layers['ner'][0].data_point.tokens])
    label = entity.annotation_layers['ner'][0].value
    print(text, '->', label)

Is there some more elegant API usage option? Like in spacy-nlp for example

doc = nlp(text)
for ent in doc.ents:
    print(ent.text, '->', ent.label_)

[helpmefindaname]

Hi @alxgrh
I think your question is answered in this tutorial or by using get_labels