# coding=utf-8 # Copyright 2025 OpenMOSS and HuggingFace Inc. teams. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from transformers.configuration_utils import PretrainedConfig class MossSpeechCodecConfig(PretrainedConfig): """Lightweight configuration for MossSpeech codec. This config is intentionally minimal since the codec assembles a Whisper-VQ encoder and a Flow/HiFT decoder from their own configs and checkpoints. """ model_type = "moss_speech_codec" def __init__(self, sample_rate: int = 16000, return_dict: bool = True, **kwargs): self.sample_rate = int(sample_rate) self.return_dict = bool(return_dict) super().__init__(**kwargs) __all__ = ["MossSpeechCodecConfig"]