funasr/train_utils/load_pretrained_model.py
@@ -105,6 +105,7 @@ else: buffer = BytesIO(oss_bucket.get_object(path).read()) src_state = torch.load(buffer, map_location=map_location) src_state = src_state["model"] if "model" in src_state else src_state if excludes is not None: for e in excludes.split(","): src_state = {k: v for k, v in src_state.items() if not k.startswith(e)} @@ -124,3 +125,4 @@ logging.debug("Loaded dst_state keys: {}".format(dst_state.keys())) dst_state.update(src_state) obj.load_state_dict(dst_state)
