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config.json

@@ -1,17 +1,28 @@
 {
-  "_commit_hash": null,
   "architectures": [
     "DepthAnythingForDepthEstimation"
   ],
   "backbone": null,
   "backbone_config": {
+    "apply_layernorm": true,
     "architectures": [
       "Dinov2Model"
     ],
+    "attention_probs_dropout_prob": 0.0,
+    "drop_path_rate": 0.0,
+    "dtype": "float32",
+    "hidden_act": "gelu",
+    "hidden_dropout_prob": 0.0,
     "hidden_size": 768,
     "image_size": 518,
+    "initializer_range": 0.02,
+    "layer_norm_eps": 1e-06,
+    "layerscale_value": 1.0,
+    "mlp_ratio": 4,
     "model_type": "dinov2",
     "num_attention_heads": 12,
+    "num_channels": 3,
+    "num_hidden_layers": 12,
     "out_features": [
       "stage3",
       "stage6",
@@ -25,16 +36,34 @@
       12
     ],
     "patch_size": 14,
+    "qkv_bias": true,
     "reshape_hidden_states": false,
-    "torch_dtype": "float32"
+    "stage_names": [
+      "stem",
+      "stage1",
+      "stage2",
+      "stage3",
+      "stage4",
+      "stage5",
+      "stage6",
+      "stage7",
+      "stage8",
+      "stage9",
+      "stage10",
+      "stage11",
+      "stage12"
+    ],
+    "use_mask_token": true,
+    "use_swiglu_ffn": false
   },
   "backbone_kwargs": null,
   "depth_estimation_type": "metric",
+  "dtype": "float32",
   "fusion_hidden_size": 128,
   "head_hidden_size": 32,
   "head_in_index": -1,
   "initializer_range": 0.02,
-  "max_depth": 40,
+  "max_depth": 20,
   "model_type": "depth_anything",
   "neck_hidden_sizes": [
     96,
@@ -50,8 +79,7 @@
     0.5
   ],
   "reassemble_hidden_size": 768,
-  "torch_dtype": "float32",
-  "transformers_version": null,
+  "transformers_version": "5.0.0.dev0",
   "use_pretrained_backbone": false,
   "use_timm_backbone": false
 }