| ```CODE: | |
| model = SentenceTransformer(model_id, truncate_dim=256, similarity_fn_name="dot").to(device=device) | |
| embeddings = model.encode(words, prompt_name="STS", 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_9z2RUao.py", line 14, in <module> | |
| model = SentenceTransformer(model_id, truncate_dim=256, similarity_fn_name="dot").to(device=device) | |
| ^^^^^^^^^^^^^^^^^^^ | |
| NameError: name 'SentenceTransformer' is not defined | |