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config.json

@@ -0,0 +1,55 @@
+{
+  "_attn_implementation_autoset": true,
+  "_name_or_path": "hf-internal-testing/tiny-random-Swinv2ForImageClassification",
+  "architectures": [
+    "Swinv2ForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "depths": [
+    1,
+    2,
+    1
+  ],
+  "drop_path_rate": 0.1,
+  "embed_dim": 16,
+  "encoder_stride": 8,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 64,
+  "image_size": 32,
+  "initializer_range": 0.02,
+  "layer_norm_eps": 1e-05,
+  "mlp_ratio": 2.0,
+  "model_type": "swinv2",
+  "num_channels": 3,
+  "num_heads": [
+    2,
+    2,
+    4
+  ],
+  "num_layers": 3,
+  "out_features": [
+    "stage3"
+  ],
+  "out_indices": [
+    3
+  ],
+  "patch_size": 2,
+  "path_norm": true,
+  "pretrained_window_sizes": [
+    0,
+    0,
+    0,
+    0
+  ],
+  "qkv_bias": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3"
+  ],
+  "transformers_version": "4.48.2",
+  "use_absolute_embeddings": false,
+  "window_size": 2
+}

onnx/model.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8448fcedc4317843caa8a649d33b766d48b066d2f6abe18bc3b05e29c6f0891f
+size 727895

preprocessor_config.json

@@ -0,0 +1,24 @@
+{
+  "crop_size": 32,
+  "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": 32,
+    "width": 32
+  }
+}