| # 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"] | |