Upload tiny models for SwinModel

config.json

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+{
+ "_name_or_path": "tiny_models/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,
+ "out_features": [
+ "stage1",
+ "stage2"
+ ],
+ "patch_size": 2,
+ "path_norm": true,
+ "qkv_bias": true,
+ "stage_names": [
+ "stem",
+ "stage1",
+ "stage2",
+ "stage3"
+ ],
+ "torch_dtype": "float32",
+ "transformers_version": "4.28.0.dev0",
+ "use_absolute_embeddings": false,
+ "window_size": 2
+}

preprocessor_config.json

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+{
+ "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": {
+ "height": 32,
+ "width": 32
+ }
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d2a09f495ef0b830b5553a37337c69f0b224fad50d8eeb8cb8881c1fc5913f07
+size 283181

tf_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:851d8f3c8f1fb97ed8870c08e2768e9e566b2380ada9659f690b7c42222ce463
+size 368384