funasr/auto/auto_model.py
@@ -264,6 +264,8 @@ def inference(self, input, input_len=None, model=None, kwargs=None, key=None, **cfg): kwargs = self.kwargs if kwargs is None else kwargs if "cache" in kwargs: kwargs.pop("cache") deep_update(kwargs, cfg) model = self.model if model is None else model model.eval()