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google_embeddinggemma-300m_9.py

@@ -11,7 +11,8 @@
 # ///
 
 try:
-    embeddings = model.encode(words, truncate_dim=512, normalize_embeddings=True)
+    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}")
@@ -32,7 +33,8 @@ except Exception as e:
     with open('google_embeddinggemma-300m_9.txt', 'a', encoding='utf-8') as f:
         import traceback
         f.write('''```CODE: 
-embeddings = model.encode(words, truncate_dim=512, normalize_embeddings=True)
+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}")