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from transformers import PretrainedConfig
from typing import Sequence
class AutoEncoder1dConfig(PretrainedConfig):
model_type = "archinetai/autoencoder1d-AT-v1"
def __init__(
self,
in_channels: int = 2,
patch_size: int = 4,
channels: int = 32,
multipliers: Sequence[int] = [1, 2, 4, 8, 8, 8, 1],
factors: Sequence[int] = [2, 2, 2, 1, 1, 1],
num_blocks: Sequence[int] = [2, 2, 8, 8, 8, 8],
bottleneck: str = 'tanh',
**kwargs
):
self.in_channels = in_channels
self.patch_size = patch_size
self.channels = channels
self.multipliers = multipliers
self.factors = factors
self.num_blocks = num_blocks
self.bottleneck = bottleneck
super().__init__(**kwargs)
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