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example.py

@@ -7,13 +7,9 @@ sm_classifier = AutoModel.from_pretrained(
 )
 
 # create a random 1024 dimensional embedding
-
 embedding = np.random.rand(1024).astype(np.float32)
 
 # Use - model automatically discovers what's available
 result = sm_classifier("fi", "na-nb", embedding)
-result2 = sm_classifier("fi", "na-nb", embedding)
-result3 = sm_classifier("fi", "na-nb", embedding)
-
 
 print(result)