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google_embeddinggemma-300m_2.txt

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+```CODE: 
+import torch
+from sentence_transformers import SentenceTransformer
+
+device = "cuda" if torch.cuda.is_available() else "cpu"
+
+model_id = "google/embeddinggemma-300M"
+model = SentenceTransformer(model_id).to(device=device)
+
+print(f"Device: {model.device}")
+print(model)
+print("Total number of parameters in the model:", sum([p.numel() for _, p in model.named_parameters()]))
+```
+
+ERROR: 
+Traceback (most recent call last):
+  File "/tmp/google_embeddinggemma-300m_2YVoEEk.py", line 15, in <module>
+    from sentence_transformers import SentenceTransformer
+ModuleNotFoundError: No module named 'sentence_transformers'