funasr/models/seaco_paraformer/model.py
@@ -350,7 +350,7 @@ pre_acoustic_embeds, pre_token_length = predictor_outs[0], predictor_outs[1] pre_token_length = pre_token_length.round().long() if torch.max(pre_token_length) < 1: return [] return ([],) decoder_out = self._seaco_decode_with_ASF(encoder_out, encoder_out_lens,
