stanford ner model colab python
from nltk.tag import StanfordNERTagger
from nltk.tokenize import word_tokenize
st = StanfordNERTagger('/content/english.muc.7class.distsim.crf.ser.gz',
'/content/stanford-ner.jar',
encoding='utf-8')
text = 'While in France, Christine Lagarde discussed short-term stimulus efforts in a recent interview with the Wall Street Journal.'
tokenized_text = word_tokenize(text)
classified_text = st.tag(tokenized_text)
print(classified_text)