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google_embeddinggemma-300m_6.txt

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+```CODE: 
+labels = ["Billing Issue", "Technical Support", "Sales Inquiry"]
+
+sentence = [
+    "Excuse me, the app freezes on the login screen. It won't work even when I try to reset my password.",
+    "I would like to inquire about your enterprise plan pricing and features for a team of 50 people.",
+]
+
+# Calculate embeddings by calling model.encode()
+label_embeddings = model.encode(labels, prompt_name="Classification")
+embeddings = model.encode(sentence, prompt_name="Classification")
+
+# Calculate the embedding similarities
+similarities = model.similarity(embeddings, label_embeddings)
+print(similarities)
+
+idx = similarities.argmax(1)
+print(idx)
+
+for example in sentence:
+    print("🙋‍♂️", example, "-> 🤖", labels[idx[sentence.index(example)]])
+```
+
+ERROR: 
+Traceback (most recent call last):
+  File "/tmp/google_embeddinggemma-300m_69QHTnB.py", line 22, in <module>
+    label_embeddings = model.encode(labels, prompt_name="Classification")
+                       ^^^^^
+NameError: name 'model' is not defined