Upload tiny models for EfficientNetForImageClassification
Browse files- config.json +78 -0
- preprocessor_config.json +29 -0
- pytorch_model.bin +3 -0
config.json
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{
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"architectures": [
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"EfficientNetForImageClassification"
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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": 3.1,
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"depth_divisor": 8,
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"depthwise_padding": [],
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"drop_connect_rate": 0.2,
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"dropout_rate": 0.5,
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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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],
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"hidden_act": "gelu",
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"hidden_dim": 2560,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2",
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"3": "LABEL_3",
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"4": "LABEL_4",
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"5": "LABEL_5",
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"6": "LABEL_6",
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"7": "LABEL_7",
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"8": "LABEL_8",
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"9": "LABEL_9"
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},
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"image_size": 600,
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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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],
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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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],
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2,
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"LABEL_3": 3,
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"LABEL_4": 4,
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"LABEL_5": 5,
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"LABEL_6": 6,
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"LABEL_7": 7,
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"LABEL_8": 8,
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"LABEL_9": 9
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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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1,
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2
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],
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"num_channels": 3,
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"num_hidden_layers": 16,
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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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],
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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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1,
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2
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],
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"torch_dtype": "float32",
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"transformers_version": "4.28.0.dev0",
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"width_coefficient": 2.0
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}
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preprocessor_config.json
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{
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"crop_size": {
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"height": 600,
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"width": 600
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},
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"do_center_crop": false,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "EfficientNetImageProcessor",
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"include_top": true,
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"resample": 0,
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"rescale_factor": 0.00392156862745098,
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"rescale_offset": false,
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"size": {
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"height": 600,
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"width": 600
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}
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:56150bb9bd3dce98ddd0773ed016478de3193e32b833ecb10bbacdd9b2ce8929
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size 4612365
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