docs(whisper): cast input features to model dtype in AutoModel example (#49837)

openai/whisper-large-v3-turbo loads in float16 by default, while the
feature extractor emits float32, so the example raised
"Input type (float) and bias type (c10::Half) should be the same".

Fixes #47805

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

Author: Kayvan-Zahiri

docs/source/en/model_doc/whisper.md

@@ -77,7 +77,7 @@ input_features = processor(
     sampling_rate=audio_sample["sampling_rate"],
     return_tensors="pt"
 ).input_features
-input_features = input_features.to(model.device)
+input_features = input_features.to(model.device, dtype=model.dtype)
 
 predicted_ids = model.generate(input_features, cache_implementation="static")
 transcription = processor.batch_decode(predicted_ids, skip_special_tokens=True)