```CODE: 
embeddings = model.encode(words, truncate_dim=512, normalize_embeddings=True)

for idx, embedding in enumerate(embeddings):
    print(f"Embedding {idx+1}: {embedding.shape}")

print("-"*80)
check_word_similarities()
```

ERROR: 
Traceback (most recent call last):
  File "/tmp/google_embeddinggemma-300m_8kFRUVt.py", line 14, in <module>
    embeddings = model.encode(words, truncate_dim=512, normalize_embeddings=True)
                 ^^^^^
NameError: name 'model' is not defined