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README.md

@@ -21111,15 +21111,14 @@ model-index:
         model, tokenizer = load('mlx-community/modernbert-embed-base-8bit')
 
         # For text embeddings
-        output = generate(model, processor, texts=['I like grapes', 'I like fruits'])
-
+        output = generate(model, processor, texts=["I like grapes", "I like fruits"])
         embeddings = output.text_embeds  # Normalized embeddings
 
         # Compute dot product between normalized embeddings
         similarity_matrix = mx.matmul(embeddings, embeddings.T)
 
-        print('
-Similarity matrix between texts:')
+        print("
+Similarity matrix between texts:")
         print(similarity_matrix)