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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 tagsprint(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> .
More Information About flair-de-ner huggingface.co Model
flair-de-ner huggingface.co
flair-de-ner huggingface.co is an AI model on huggingface.co that provides flair-de-ner's model effect (), which can be used instantly with this julien-c flair-de-ner model. huggingface.co supports a free trial of the flair-de-ner model, and also provides paid use of the flair-de-ner. Support call flair-de-ner model through api, including Node.js, Python, http.
flair-de-ner huggingface.co is an online trial and call api platform, which integrates flair-de-ner's modeling effects, including api services, and provides a free online trial of flair-de-ner, you can try flair-de-ner online for free by clicking the link below.
julien-c flair-de-ner online free url in huggingface.co:
flair-de-ner is an open source model from GitHub that offers a free installation service, and any user can find flair-de-ner on GitHub to install. At the same time, huggingface.co provides the effect of flair-de-ner install, users can directly use flair-de-ner installed effect in huggingface.co for debugging and trial. It also supports api for free installation.