funasr/auto/auto_model.py
@@ -161,15 +161,15 @@ vocab_size = len(tokenizer.token_list) else: vocab_size = -1 # build frontend frontend = kwargs.get("frontend", None) if frontend is not None: frontend_class = tables.frontend_classes.get(frontend) frontend = frontend_class(**kwargs["frontend_conf"]) kwargs["frontend"] = frontend kwargs["input_size"] = frontend.output_size() # build model model_class = tables.model_classes.get(kwargs["model"]) model = model_class(**kwargs, **kwargs["model_conf"], vocab_size=vocab_size)