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README.md

@@ -21114,14 +21114,5 @@ output = generate(model, processor, None, texts=["I like grapes", "I like fruits
 # Get text embeddings from the output
 embeddings = output.text_embeds  # Shape: [batch_size, hidden_size]
 
-# For masked language modeling
-output = generate(model, processor, None, texts=["The capital of France is [MASK]."])
-
-mask_index = processor.encode("[MASK]", add_special_tokens=False)[0]
-
-predicted_token_id = mx.argmax(output.logits[0, mask_index], axis=-1)
-
-predicted_token = processor.decode([predicted_token_id.item()])
-
 
 ```