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Upload huggingface_model/config.json with huggingface_hub

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  1. huggingface_model/config.json +88 -0
huggingface_model/config.json ADDED
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+ {
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+ "_name_or_path": "google/efficientnet-b3",
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+ "architectures": [
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+ "CustomModel"
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+ ],
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+ "batch_norm_eps": 0.001,
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+ "batch_norm_momentum": 0.99,
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+ "depth_coefficient": 1.4,
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+ "depth_divisor": 8,
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+ "depthwise_padding": [
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+ 5,
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+ 18
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+ ],
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+ "drop_connect_rate": 0.2,
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+ "dropout_rate": 0.3,
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+ "expand_ratios": [
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+ 1,
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+ 6,
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+ 6,
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+ 6,
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+ 6,
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+ 6,
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+ 6
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+ ],
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+ "hidden_act": "swish",
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+ "hidden_dim": 1536,
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+ "id2label": {
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+ "0": "LABEL_0"
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+ },
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+ "image_size": 300,
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+ "in_channels": [
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+ 32,
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+ 16,
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+ 24,
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+ 40,
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+ 80,
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+ 112,
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+ 192
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+ ],
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+ "initializer_range": 0.02,
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+ "kernel_sizes": [
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+ 3,
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+ 3,
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+ 5,
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+ 3,
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+ 5,
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+ 5,
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+ 3
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+ ],
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+ "label2id": {
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+ "LABEL_0": 0
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+ },
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+ "model_type": "efficientnet",
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+ "num_block_repeats": [
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+ 1,
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+ 2,
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+ 2,
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+ 3,
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+ 3,
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+ 4,
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+ 1
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+ ],
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+ "num_channels": 3,
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+ "num_hidden_layers": 64,
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+ "out_channels": [
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+ 16,
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+ 24,
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+ 40,
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+ 80,
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+ 112,
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+ 192,
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+ 320
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+ ],
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+ "pooling_type": "mean",
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+ "squeeze_expansion_ratio": 0.25,
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+ "strides": [
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+ 1,
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+ 2,
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+ 2,
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+ 2,
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+ 1,
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+ 2,
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+ 1
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+ ],
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.44.0",
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+ "width_coefficient": 1.2
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+ }