funasr/bin/diar_inference_launch.py
@@ -135,8 +135,10 @@ "sv_train_config": "sv.yaml", "sv_model_file": "sv.pth", } if "param_dict" in kwargs: kwargs["param_dict"].update(param_dict) if "param_dict" in kwargs and kwargs["param_dict"] is not None: for key in param_dict: if key not in kwargs["param_dict"]: kwargs["param_dict"][key] = param_dict[key] else: kwargs["param_dict"] = param_dict return inference_modelscope(**kwargs)