Upload tiny models for ResNetModel

config.json

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+{
+  "_name_or_path": "tiny_models/resnet/ResNetModel",
+  "architectures": [
+    "ResNetModel"
+  ],
+  "depths": [
+    1,
+    1,
+    2,
+    1
+  ],
+  "downsample_in_first_stage": false,
+  "embedding_size": 64,
+  "embeddings_size": 10,
+  "hidden_act": "relu",
+  "hidden_sizes": [
+    10,
+    20,
+    30,
+    40
+  ],
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "layer_type": "bottleneck",
+  "model_type": "resnet",
+  "num_channels": 3,
+  "out_features": [
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.0.dev0"
+}

preprocessor_config.json

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+{
+  "crop_pct": 0.875,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "ConvNextFeatureExtractor",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ConvNextImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c4ee6908dc8d6337dc32efc563a84ddae6fd2ab90d62253f9c9a40f64453397b
+size 106157

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6deef0f305ec61480fec494f8b3b50c144bbdd9e8971a5b2849be43e06bce4b0
+size 189272