Upload ViTForImageClassification

config.json

@@ -1,24 +1,13 @@
 {
-  "_name_or_path": "microsoft/resnet-50",
+  "_name_or_path": "google/vit-base-patch16-224",
   "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
+    "ViTForImageClassification"
   ],
+  "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",
@@ -36,6 +25,9 @@
     "13": "abscess",
     "14": "dysembryoplastic_neuroepithelial_tumor"
   },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
   "label2id": {
     "abscess": 13,
     "astrocytoma": 10,
@@ -53,23 +45,14 @@
     "right": 1,
     "temporal": 3
   },
-  "layer_type": "bottleneck",
-  "model_type": "resnet",
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
   "num_channels": 3,
-  "out_features": [
-    "stage4"
-  ],
-  "out_indices": [
-    4
-  ],
+  "num_hidden_layers": 12,
+  "patch_size": 16,
   "problem_type": "multi_label_classification",
-  "stage_names": [
-    "stem",
-    "stage1",
-    "stage2",
-    "stage3",
-    "stage4"
-  ],
+  "qkv_bias": true,
   "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 94409540
+oid sha256:fb5a3691052f8d4bee9178a7c9303c91d0b6cc009981c18a471815d67630cf64
+size 343263964