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				@@ -1,4 +1,4 @@ 
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				-from dataclasses import dataclass, field 
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				+from dataclasses import dataclass, field, replace 
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				 from typing import TYPE_CHECKING, Dict, Iterable, List, Optional, Sequence, Tuple, Union 
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				 import numpy as np 
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				@@ -778,7 +778,10 @@ class DecodingTask: 
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				 @torch.no_grad() 
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				 def decode( 
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				-    model: "Whisper", mel: Tensor, options: DecodingOptions = DecodingOptions() 
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				+    model: "Whisper", 
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				+    mel: Tensor, 
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				+    options: DecodingOptions = DecodingOptions(), 
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				+    **kwargs, 
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				 ) -> Union[DecodingResult, List[DecodingResult]]: 
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				     """ 
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				     Performs decoding of 30-second audio segment(s), provided as Mel spectrogram(s). 
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				@@ -802,6 +805,9 @@ def decode( 
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				     if single := mel.ndim == 2: 
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				         mel = mel.unsqueeze(0) 
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				+    if kwargs: 
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				+        options = replace(options, **kwargs) 
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				+ 
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				     result = DecodingTask(model, options).run(mel) 
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				     return result[0] if single else result 
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