Upload MobileNetV1ForImageClassification

config.json

@@ -1,13 +1,9 @@
 {
   "architectures": [
-    "MobileNetV2ForImageClassification"
+    "MobileNetV1ForImageClassification"
   ],
-  "classifier_dropout_prob": 0.8,
-  "depth_divisible_by": 8,
-  "depth_multiplier": 1.0,
-  "expand_ratio": 6,
-  "finegrained_output": true,
-  "first_layer_is_expansion": true,
+  "classifier_dropout_prob": 0.999,
+  "depth_multiplier": 0.75,
   "hidden_act": "relu6",
   "id2label": {
     "0": "background",
@@ -1012,7 +1008,7 @@
     "999": "ear, spike, capitulum",
     "1000": "toilet tissue, toilet paper, bathroom tissue"
   },
-  "image_size": 224,
+  "image_size": 192,
   "initializer_range": 0.02,
   "label2id": {
     "Afghan hound, Afghan": 161,
@@ -2018,10 +2014,8 @@
   },
   "layer_norm_eps": 0.001,
   "min_depth": 8,
-  "model_type": "mobilenet_v2",
+  "model_type": "mobilenet_v1",
   "num_channels": 3,
-  "output_stride": 32,
-  "semantic_loss_ignore_index": 255,
   "tf_padding": true,
   "torch_dtype": "float32",
   "transformers_version": "4.25.0.dev0"