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README.md

@@ -1,8 +1,8 @@
 ---
-base_model: google/mobilenet_v2_1.4_224
+base_model: timm/mobilenetv3_large_100.miil_in21k
 library_name: transformers.js
 ---
 
-https://huggingface.co/google/mobilenet_v2_1.4_224 with ONNX weights to be compatible with Transformers.js.
+https://huggingface.co/timm/mobilenetv3_large_100.miil_in21k with ONNX weights to be compatible with Transformers.js.
 
 Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using [🤗 Optimum](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).

onnx/model.onnx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:29ecd0fe9119c4bf0229ab31b5697660cb0af5893cb470183b96cc6fec0d8203
-size 12219645
+oid sha256:6be5b0f4434e5db524ebafdfeb9535736d27608b75106be38d58407ad09439cb
+size 37194023

preprocessor_config.json

@@ -4,23 +4,14 @@
     "width": 224
   },
   "do_center_crop": true,
-  "do_normalize": true,
+  "do_convert_rgb": true,
+  "do_normalize": false,
   "do_rescale": true,
   "do_resize": true,
-  "image_mean": [
-    0.5,
-    0.5,
-    0.5
-  ],
-  "image_processor_type": "MobileNetV2FeatureExtractor",
-  "image_std": [
-    0.5,
-    0.5,
-    0.5
-  ],
-  "resample": 2,
+  "feature_extractor_type": "ImageFeatureExtractor",
+  "resample": 3,
   "rescale_factor": 0.00392156862745098,
   "size": {
     "shortest_edge": 256
   }
-}
+}

quantize_config.json

@@ -5,11 +5,14 @@
             "model": {
                 "op_types": [
                     "Add",
-                    "Clip",
                     "Conv",
                     "Flatten",
                     "Gemm",
-                    "GlobalAveragePool"
+                    "GlobalAveragePool",
+                    "HardSigmoid",
+                    "Mul",
+                    "ReduceMean",
+                    "Relu"
                 ],
                 "weight_type": "QUInt8"
             }
@@ -22,11 +25,14 @@
             "model": {
                 "op_types": [
                     "Add",
-                    "Clip",
                     "Conv",
                     "Flatten",
                     "Gemm",
-                    "GlobalAveragePool"
+                    "GlobalAveragePool",
+                    "HardSigmoid",
+                    "Mul",
+                    "ReduceMean",
+                    "Relu"
                 ],
                 "weight_type": "QInt8"
             }
@@ -39,11 +45,14 @@
             "model": {
                 "op_types": [
                     "Add",
-                    "Clip",
                     "Conv",
                     "Flatten",
                     "Gemm",
-                    "GlobalAveragePool"
+                    "GlobalAveragePool",
+                    "HardSigmoid",
+                    "Mul",
+                    "ReduceMean",
+                    "Relu"
                 ],
                 "weight_type": "QUInt8"
             }