diff --git a/candle-examples/examples/whisper/multilingual.rs b/candle-examples/examples/whisper/multilingual.rs
index 01722a68..3587b01a 100644
--- a/candle-examples/examples/whisper/multilingual.rs
+++ b/candle-examples/examples/whisper/multilingual.rs
@@ -106,13 +106,15 @@ const LANGUAGES: [(&str, &str); 99] = [
 
 /// Returns the token id for the selected language.
 pub fn detect_language(model: &mut Whisper, tokenizer: &Tokenizer, mel: &Tensor) -> Result<u32> {
+    let (_bsize, _, seq_len) = mel.dims3()?;
+    let mel = mel.narrow(2, 0, usize::min(seq_len, model.config.max_source_positions))?;
     let device = mel.device();
     let language_token_ids = LANGUAGES
         .iter()
         .map(|(t, _)| crate::token_id(tokenizer, &format!("<|{t}|>")))
         .collect::<Result<Vec<_>>>()?;
     let sot_token = crate::token_id(tokenizer, crate::SOT_TOKEN)?;
-    let audio_features = model.encoder.forward(mel, true)?;
+    let audio_features = model.encoder.forward(&mel, true)?;
     let tokens = Tensor::new(&[[sot_token]], device)?;
     let language_token_ids = Tensor::new(language_token_ids.as_slice(), device)?;
     let logits = model