Stop restating quantized, and drop the unused default

quantized duplicated precisions.json, which is authoritative for the
quantized/non-quantized partition. default expressed a per-repository
recommendation nothing consumed: the library resolves its own per-platform
default. Both are gone from the schema.

coreml/config.json

@@ -11,8 +11,6 @@
     {
       "file": "selfie_segmentation_coreml_fp16.pte",
       "precision": "fp16",
-      "quantized": false,
-      "default": true,
       "methods": {
         "forward": {
           "inputs": [
@@ -43,8 +41,6 @@
     {
       "file": "selfie_segmentation_landscape_coreml_fp16.pte",
       "precision": "fp16",
-      "quantized": false,
-      "default": false,
       "methods": {
         "forward": {
           "inputs": [

xnnpack/config.json

@@ -2,31 +2,69 @@
   "$schema": "https://huggingface.co/software-mansion/react-native-executorch-spec/resolve/main/config.schema.json",
   "model": "selfie_segmentation",
   "family": "selfie",
-  "capabilities": ["semantic-segmentation"],
+  "capabilities": [
+    "semantic-segmentation"
+  ],
   "backend": "xnnpack",
   "license": "apache-2.0",
   "variants": [
     {
       "file": "selfie_segmentation_xnnpack_fp32.pte",
       "precision": "fp32",
-      "quantized": false,
-      "default": true,
       "methods": {
         "forward": {
-          "inputs": [{ "shape": [1, 3, 256, 256], "dtype": "float32" }],
-          "outputs": [{ "shape": [1, 1, 256, 256], "dtype": "float32" }]
+          "inputs": [
+            {
+              "shape": [
+                1,
+                3,
+                256,
+                256
+              ],
+              "dtype": "float32"
+            }
+          ],
+          "outputs": [
+            {
+              "shape": [
+                1,
+                1,
+                256,
+                256
+              ],
+              "dtype": "float32"
+            }
+          ]
         }
       }
     },
     {
       "file": "selfie_segmentation_landscape_xnnpack_fp32.pte",
       "precision": "fp32",
-      "quantized": false,
-      "default": false,
       "methods": {
         "forward": {
-          "inputs": [{ "shape": [1, 3, 144, 256], "dtype": "float32" }],
-          "outputs": [{ "shape": [1, 1, 144, 256], "dtype": "float32" }]
+          "inputs": [
+            {
+              "shape": [
+                1,
+                3,
+                144,
+                256
+              ],
+              "dtype": "float32"
+            }
+          ],
+          "outputs": [
+            {
+              "shape": [
+                1,
+                1,
+                144,
+                256
+              ],
+              "dtype": "float32"
+            }
+          ]
         }
       }
     }