Upload ViTForImageClassification

config.json

@@ -1,22 +1,13 @@
 {
-  "_name_or_path": "flyswot/convnext-tiny-224_flyswot",
+  "_name_or_path": "google/vit-base-patch16-224",
   "architectures": [
-    "ConvNextForImageClassification"
+    "ViTForImageClassification"
   ],
-  "depths": [
-    3,
-    3,
-    9,
-    3
-  ],
-  "drop_path_rate": 0.0,
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
   "hidden_act": "gelu",
-  "hidden_sizes": [
-    96,
-    192,
-    384,
-    768
-  ],
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
   "id2label": {
     "0": "CONTAINER",
     "1": "CONTROL SHOT",
@@ -29,6 +20,7 @@
   },
   "image_size": 224,
   "initializer_range": 0.02,
+  "intermediate_size": 3072,
   "label2id": {
     "CONTAINER": 0,
     "CONTROL SHOT": 1,
@@ -40,12 +32,13 @@
     "SCROLL": 7
   },
   "layer_norm_eps": 1e-12,
-  "layer_scale_init_value": 1e-06,
-  "model_type": "convnext",
+  "model_type": "vit",
+  "num_attention_heads": 12,
   "num_channels": 3,
-  "num_stages": 4,
-  "patch_size": 4,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
   "problem_type": "single_label_classification",
+  "qkv_bias": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.17.0"
+  "transformers_version": "4.25.1"
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:61d3a4bda02ea93c98557fcc9959a4b5d3cf544a23f2d7a7c74f1dd5f4affd47
-size 111372949
+oid sha256:11b653cc425c41b7fff0f45080db2a9811ef6d317527d096637525c70bcf2f99
+size 343287149