Update tiny models for Swinv2ForImageClassification

config.json

@@ -0,0 +1,56 @@
+{
+  "architectures": [
+    "Swinv2ForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "depths": [
+    1,
+    2,
+    1
+  ],
+  "drop_path_rate": 0.1,
+  "dtype": "float32",
+  "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": [
+    "stage1",
+    "stage2"
+  ],
+  "out_indices": [
+    1,
+    2
+  ],
+  "patch_size": 2,
+  "path_norm": true,
+  "pretrained_window_sizes": [
+    0,
+    0,
+    0,
+    0
+  ],
+  "qkv_bias": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3"
+  ],
+  "transformers_version": "5.16.0.dev0",
+  "use_absolute_embeddings": false,
+  "window_size": 2
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4cde14cb1b3d7f014ceb9b86f0bdae2ed8992d96f90d95413c898ca56d414f1b
+size 310232

preprocessor_config.json

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