You can deploy this model and start earning money today!

GuiGel/
meddocan-flair-lstm-crf

Name: meddocan-flair-lstm-crf
Availability: InStock

flair

pytorch

token-classification

sequence-tagger-model

Views

No views yet

Demo: How to use in Flair

Requires:

Flair (pip install flair)

python

from flair.data import Sentence
from flair.models import SequenceTagger
# load tagger
tagger = SequenceTagger.load("GuiGel/meddocan-flair-lstm-crf")
# make example sentence
sentence = Sentence("On September 1st George won 1 dollar while watching Game of Thrones.")
# predict NER tags
tagger.predict(sentence)
# print sentence
print(sentence)
# print predicted NER spans
print('The following NER tags are found:')
# iterate over entities and print
for entity in sentence.get_spans('ner'):
    print(entity)