Upload ResNetForImageClassification

config.json

@@ -1,13 +1,24 @@
 {
-  "_name_or_path": "google/vit-base-patch16-224",
+  "_name_or_path": "microsoft/resnet-50",
   "architectures": [
-    "ViTForImageClassification"
+    "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
   ],
-  "attention_probs_dropout_prob": 0.0,
-  "encoder_stride": 16,
-  "hidden_act": "gelu",
-  "hidden_dropout_prob": 0.0,
-  "hidden_size": 768,
   "id2label": {
     "0": "left",
     "1": "right",
@@ -25,9 +36,6 @@
     "13": "abscess",
     "14": "dysembryoplastic_neuroepithelial_tumor"
   },
-  "image_size": 224,
-  "initializer_range": 0.02,
-  "intermediate_size": 3072,
   "label2id": {
     "abscess": 13,
     "astrocytoma": 10,
@@ -45,14 +53,23 @@
     "right": 1,
     "temporal": 3
   },
-  "layer_norm_eps": 1e-12,
-  "model_type": "vit",
-  "num_attention_heads": 12,
+  "layer_type": "bottleneck",
+  "model_type": "resnet",
   "num_channels": 3,
-  "num_hidden_layers": 12,
-  "patch_size": 16,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
   "problem_type": "multi_label_classification",
-  "qkv_bias": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
   "torch_dtype": "float32",
   "transformers_version": "4.48.3"
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 343263964
+oid sha256:46cfa0cf3618051d025117af4c7236b75f7a6e7e03ce07e1023b6c4648d521f7
+size 94409540