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Modelconfig.json

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+{
+  "_attn_implementation_autoset": true,
+  "architectures": [
+    "ViTModel"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Enfeksiyonel",
+    "1": "Ekzama",
+    "2": "Akne",
+    "3": "Pigment",
+    "4": "Benign",
+    "5": "Malign",
+    "6": "Acne",
+    "7": "Actinic Keratosis",
+    "8": "Basal Cell Carcinoma",
+    "9": "Benign Keratosis",
+    "10": "Dermatofibroma",
+    "11": "Melanocytic Nevus",
+    "12": "Melanoma",
+    "13": "Vascular Lesion",
+    "14": "Warts/Molluscum"
+},
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Enfeksiyonel": 0,
+    "Ekzama": 1,
+    "Akne": 2,
+    "Pigment": 3,
+    "Benign": 4,
+    "Malign": 5,
+    "Actinic Keratosis": 6,
+    "Acne":7,
+    "Basal Cell Carcinoma": 6,
+    "Benign Keratosis": 7,
+    "Dermatofibroma": 8,
+    "Melanocytic Nevus": 9,
+    "Melanoma": 12,
+    "Vascular Lesion": 13,
+    "Warts/Molluscum": 14
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "pooler_act": "tanh",
+  "pooler_output_size": 768,
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.1"
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:15b88c4eb34f6e202d70dc1652f577a3f3ef31ebef7090bdbc8cffbf98c7e361
+size 343319274