```CODE: 
# The sentences to encode
sentence_high = [
    "The chef prepared a delicious meal for the guests.",
    "A tasty dinner was cooked by the chef for the visitors."
]
sentence_medium = [
    "She is an expert in machine learning.",
    "He has a deep interest in artificial intelligence."
]
sentence_low = [
    "The weather in Tokyo is sunny today.",
    "I need to buy groceries for the week."
]

for sentence in [sentence_high, sentence_medium, sentence_low]:
    print("🙋‍♂️")
    print(sentence)
    embeddings = model.encode(sentence)
    similarities = model.similarity(embeddings[0], embeddings[1])
    print("`-> 🤖 score: ", similarities.numpy()[0][0])
```

ERROR: 
Traceback (most recent call last):
  File "/tmp/google_embeddinggemma-300m_4PP3WIF.py", line 31, in <module>
    embeddings = model.encode(sentence)
                 ^^^^^
NameError: name 'model' is not defined