Upload ResNetForImageClassification

config.json

@@ -1,14 +1,24 @@
 {
-  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "_name_or_path": "microsoft/resnet-18",
   "architectures": [
-    "ViTForImageClassification"
+    "ResNetForImageClassification"
   ],
-  "attention_probs_dropout_prob": 0.0,
-  "encoder_stride": 16,
+  "depths": [
+    2,
+    2,
+    2,
+    2
+  ],
+  "downsample_in_first_stage": false,
+  "embedding_size": 64,
   "finetuning_task": "image-classification",
-  "hidden_act": "gelu",
-  "hidden_dropout_prob": 0.0,
-  "hidden_size": 768,
+  "hidden_act": "relu",
+  "hidden_sizes": [
+    64,
+    128,
+    256,
+    512
+  ],
   "id2label": {
     "0": "LABEL_0",
     "1": "LABEL_1",
@@ -211,9 +221,6 @@
     "198": "LABEL_198",
     "199": "LABEL_199"
   },
-  "image_size": 224,
-  "initializer_range": 0.02,
-  "intermediate_size": 3072,
   "label2id": {
     "n01443537": "0",
     "n01629819": "1",
@@ -416,14 +423,23 @@
     "n13719102": "198",
     "n14991210": "199"
   },
-  "layer_norm_eps": 1e-12,
-  "model_type": "vit",
-  "num_attention_heads": 12,
+  "layer_type": "basic",
+  "model_type": "resnet",
   "num_channels": 3,
-  "num_hidden_layers": 12,
-  "patch_size": 16,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
   "problem_type": "single_label_classification",
-  "qkv_bias": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
   "torch_dtype": "float32",
   "transformers_version": "4.28.1"
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 343874989
+oid sha256:133c7665131b67cb752899877cfaa47c896b02e48a412657f0ca10203aa98218
+size 45196149