Upload config

autoencoder_config.py

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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)
+    

config.json

@@ -0,0 +1,36 @@
+{
+  "auto_map": {
+    "AutoConfig": "autoencoder_config.AutoEncoder1dConfig"
+  },
+  "bottleneck": "tanh",
+  "channels": 32,
+  "factors": [
+    2,
+    2,
+    2,
+    1,
+    1,
+    1
+  ],
+  "in_channels": 2,
+  "model_type": "archinetai/autoencoder1d-AT-v1",
+  "multipliers": [
+    1,
+    2,
+    4,
+    8,
+    8,
+    8,
+    1
+  ],
+  "num_blocks": [
+    2,
+    2,
+    8,
+    8,
+    8,
+    8
+  ],
+  "patch_size": 4,
+  "transformers_version": "4.24.0"
+}