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