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config.json

@@ -0,0 +1,18 @@
+{
+  "_attn_implementation_autoset": true,
+  "_name_or_path": "hf-internal-testing/tiny-random-MobileNetV1ForImageClassification",
+  "architectures": [
+    "MobileNetV1ForImageClassification"
+  ],
+  "classifier_dropout_prob": 0.1,
+  "depth_multiplier": 0.25,
+  "hidden_act": "relu6",
+  "image_size": 32,
+  "initializer_range": 0.02,
+  "layer_norm_eps": 0.001,
+  "min_depth": 8,
+  "model_type": "mobilenet_v1",
+  "num_channels": 3,
+  "tf_padding": true,
+  "transformers_version": "4.48.2"
+}

onnx/model.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cd57e343c0e2c093454a828a67b3ef3f875a476eff0a2986e454e452334c3a63
+size 928254

preprocessor_config.json

@@ -0,0 +1,26 @@
+{
+  "crop_size": {
+    "height": 32,
+    "width": 32
+  },
+  "do_center_crop": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "MobileNetV1FeatureExtractor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 32
+  }
+}