```CODE: 
def check_word_similarities():
    # Calculate the embedding similarities
    print("similarity function: ", model.similarity_fn_name)
    similarities = model.similarity(embeddings[0], embeddings[1:])
    print(similarities)

    for idx, word in enumerate(words[1:]):
        print("🙋‍♂️ apple vs.", word, "-> 🤖 score: ", similarities.numpy()[0][idx])

# Calculate embeddings by calling model.encode()
embeddings = model.encode(words, prompt_name="STS")

check_word_similarities()
```

ERROR: 
Traceback (most recent call last):
  File "/tmp/google_embeddinggemma-300m_785mJ1M.py", line 24, in <module>
    embeddings = model.encode(words, prompt_name="STS")
                 ^^^^^
NameError: name 'model' is not defined