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