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google_embeddinggemma-300m_7.txt

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+```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