Upload tiny models for EfficientFormerForImageClassificationWithTeacher

config.json

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+{
+  "architectures": [
+    "EfficientFormerForImageClassificationWithTeacher"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "attention_ratio": 4,
+  "depths": [
+    3,
+    2,
+    6,
+    4
+  ],
+  "dim": 448,
+  "distillation": true,
+  "downsample_pad": 1,
+  "downsample_patch_size": 3,
+  "downsample_stride": 2,
+  "downsamples": [
+    true,
+    true,
+    true,
+    true
+  ],
+  "drop_path_rate": 0.0,
+  "encoder_stride": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 448,
+  "hidden_sizes": [
+    48,
+    96,
+    224,
+    448
+  ],
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 37,
+  "key_dim": 32,
+  "layer_norm_eps": 1e-12,
+  "layer_scale_init_value": 1e-05,
+  "mlp_expansion_ratio": 4,
+  "model_type": "efficientformer",
+  "num_attention_heads": 8,
+  "num_channels": 3,
+  "num_hidden_layers": 7,
+  "num_meta3d_blocks": 1,
+  "patch_size": 2,
+  "pool_size": 3,
+  "resolution": 7,
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.0.dev0",
+  "use_layer_scale": true
+}

preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "EfficientFormerImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4345ac68cf8ede6f03a3f525893bc47272c580717648440262d89d4e68eb6a05
+size 45823857