metadata
tags:
- flair
- token-classification
- sequence-tagger-model
language: en
datasets:
- conll2003
inference: false
Flair NER model en-ner-conll03-v0.4.pt
Imported from https://nlp.informatik.hu-berlin.de/resources/models/ner/
Demo: How to use in Flair
from flair.data import Sentence
from flair.models import SequenceTagger
sentence = Sentence(
"My name is Julien, I currently live in Paris, I work at Hugging Face, Inc."
)
tagger = SequenceTagger.load("julien-c/flair-ner")
# predict NER tags
tagger.predict(sentence)
# print sentence with predicted tags
print(sentence.to_tagged_string())
yields the following output:
My name is Julien <S-PER> , I currently live in Paris <S-LOC> , I work at Hugging <B-LOC> Face <E-LOC> .