Inspecting word vectors

In this exercise, you'll use a larger English model, which includes around 20.000 word vectors. Because vectors take a little longer to load, we're using a slightly compressed version of it than the one you can download with spaCy. The model is already pre-installed, and spacy has already been imported for you.

This exercise is part of the course

Advanced NLP with spaCy

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Exercise instructions

Load the medium 'en_core_web_md' model with word vectors.
Print the vector for "bananas" using the token.vector attribute.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Load the en_core_web_md model
nlp = ____

# Process a text
doc = nlp("Two bananas in pyjamas")

# Get the vector for the token "bananas"
bananas_vector = ____.____
print(bananas_vector)

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