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> .

Thanks @stefan-it for the Flair integration ❤️ 🔥

Downloads last month
1,089
Inference Examples
Inference API (serverless) has been turned off for this model.

Dataset used to train julien-c/flair-ner