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config.json

@@ -0,0 +1,22 @@
+{
+  "_attn_implementation_autoset": true,
+  "_name_or_path": "hf-internal-testing/tiny-random-ViTMSNForImageClassification",
+  "architectures": [
+    "ViTMSNForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 32,
+  "image_size": 30,
+  "initializer_range": 0.02,
+  "intermediate_size": 37,
+  "layer_norm_eps": 1e-06,
+  "model_type": "vit_msn",
+  "num_attention_heads": 4,
+  "num_channels": 3,
+  "num_hidden_layers": 5,
+  "patch_size": 2,
+  "qkv_bias": true,
+  "transformers_version": "4.48.2"
+}

onnx/model.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:575ade12e35eea8deb8a936f5124e3228b6979890a6de91c2a2c39a95de94a05
+size 291034

preprocessor_config.json

@@ -0,0 +1,24 @@
+{
+  "crop_size": 30,
+  "do_convert_rgb": null,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTFeatureExtractor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 30,
+    "width": 30
+  }
+}