from sklearn.metrics.pairwise import cosine_similarity

# Calculate cosine similarity between two vectors
vector1 = [1, 2, 3]
vector2 = [4, 5, 6]

# Use the cosine_similarity function from scikit-learn to calculate the similarity
cosine_sim = cosine_similarity([vector1], [vector2])[0][0]

# Print the result
print("Cosine Similarity between the given two vectors: " + \
      str(cosine_sim))