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# 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"]
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