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from transformers import PretrainedConfig
from typing import List
class DinoHuVitsConfig(PretrainedConfig):
model_type = "DinoHuVits"
def __init__(
self,
inter_channels=192,
hidden_channels=192,
resblock="1",
resblock_kernel_sizes=[3, 7, 11],
resblock_dilation_sizes=[[1, 3, 5], [1, 3, 5], [1, 3, 5]],
upsample_rates=[10, 8, 2, 2],
upsample_initial_channel=512,
upsample_kernel_sizes=[20, 16, 4, 4],
gin_channels=256,
hubert_feature_channels=768,
hubert_downsample_channels=192,
hubert_output_layer=11,
**kwargs
):
self.inter_channels = inter_channels
self.hidden_channels = hidden_channels
self.resblock = resblock
self.resblock_kernel_sizes = resblock_kernel_sizes
self.resblock_dilation_sizes = resblock_dilation_sizes
self.upsample_rates = upsample_rates
self.upsample_initial_channel = upsample_initial_channel
self.upsample_kernel_sizes = upsample_kernel_sizes
self.gin_channels = gin_channels
self.hubert_feature_channels = hubert_feature_channels
self.hubert_downsample_channels = hubert_downsample_channels
self.hubert_output_layer = hubert_output_layer
super().__init__(**kwargs)
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