Upload ConditionalUNet

config.json

@@ -1,48 +1,26 @@
 {
-  "_name_or_path": "evanrsl/resnet-Alzheimer",
   "architectures": [
-    "ResNetForImageClassification"
-  ],
-  "depths": [
-    3,
-    4,
-    6,
-    3
-  ],
-  "downsample_in_bottleneck": false,
-  "downsample_in_first_stage": false,
-  "embedding_size": 64,
-  "hidden_act": "relu",
-  "hidden_sizes": [
-    256,
-    512,
-    1024,
-    2048
+    "ConditionalUNet"
   ],
+  "auto_map": {
+    "AutoConfig": "configuration_conditional_unet.ConditionalUNetConfig",
+    "AutoModel": "modeling_conditional_unet.ConditionalUNet"
+  },
+  "encoder_rep": "evanrsl/resnet-Alzheimer",
   "id2label": {
-    "0": "LABEL_0"
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3"
   },
   "label2id": {
-    "LABEL_0": 0
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3
   },
-  "layer_type": "bottleneck",
-  "model_type": "resnet",
+  "model_type": "conditional-unet",
   "num_channels": 3,
-  "out_features": [
-    "stage4"
-  ],
-  "out_indices": [
-    4
-  ],
-  "problem_type": "multi_label_classification",
-  "return_dict": false,
-  "stage_names": [
-    "stem",
-    "stage1",
-    "stage2",
-    "stage3",
-    "stage4"
-  ],
   "torch_dtype": "float32",
   "transformers_version": "4.46.2"
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 94294756
+oid sha256:9efb00eec92892851e81caf1cc0959ba275fae01cb290fd34a2194af0a08cc05
+size 293858844