this is a fork of hf-internal-testing/tiny-random-SwinModel with preprocessor config patched

config.json

@@ -0,0 +1,37 @@
+{
+  "_name_or_path": "temp/dummy/swin/SwinModel",
+  "architectures": [
+    "SwinModel"
+  ],
+  "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": "swin",
+  "num_channels": 3,
+  "num_heads": [
+    2,
+    2,
+    4
+  ],
+  "num_layers": 3,
+  "patch_size": 2,
+  "path_norm": true,
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.25.0.dev0",
+  "use_absolute_embeddings": false,
+  "window_size": 2
+}

preprocessor_config.json

@@ -0,0 +1,20 @@
+{
+  "crop_size": 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": 32
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1082c12d6828e5ff70a5fe7e5dcf67c3dc696c7c5c7826bc3b9a00a27c128765
+size 283181

tf_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ccf33389d2e63243d7f948ca704b1aab607e8b726e4af1f31f61116961ad5e39
+size 368384