nvidia
/

canary-1b

@@ -312,7 +312,7 @@ canary_model.change_decoding_strategy(decode_cfg)
 The input to the model can be a directory containing audio files, in which case the model will perform ASR on English and produces text with punctuation and capitalization:
 ```python
-predicted_text = canary_model.trancribe(
     audio_dir="<path to directory containing audios>",
     batch_size=16,  # batch size to run the inference with
 )

 The input to the model can be a directory containing audio files, in which case the model will perform ASR on English and produces text with punctuation and capitalization:
 ```python
+predicted_text = canary_model.transcribe(
     audio_dir="<path to directory containing audios>",
     batch_size=16,  # batch size to run the inference with
 )