Here's the completed code:
```
# Import spacy
import spacy
# Instantiate the English model: nlp
nlp = spacy.load('en_core_web_sm', disable=['tagger', 'parser', 'matcher'])
# Create a new document: doc
doc = nlp(article)
# Print all of the found entities and their labels
for ent in doc.ents:
print(ent.label_, ent.text)
```
The code imports `spacy`, loads the 'en_core_web_sm' model using `spacy.load()` with additional keyword