Commit
•
db2cf30
1
Parent(s):
f19bb5b
Upload tiny models for ConvNextV2Model
Browse files- config.json +64 -0
- preprocessor_config.json +23 -0
- pytorch_model.bin +3 -0
config.json
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{
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"architectures": [
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"ConvNextV2Model"
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],
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"depths": [
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2,
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2,
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3,
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2
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],
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"drop_path_rate": 0.0,
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"hidden_act": "gelu",
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"hidden_sizes": [
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10,
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20,
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30,
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40
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],
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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": 224,
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"initializer_range": 0.02,
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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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"layer_norm_eps": 1e-12,
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"model_type": "convnextv2",
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"num_channels": 3,
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"num_stages": 4,
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"out_features": [
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"stage2",
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"stage3",
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"stage4"
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],
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"patch_size": 4,
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"stage_names": [
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"stem",
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"stage1",
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"stage2",
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"stage3",
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"stage4"
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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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}
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preprocessor_config.json
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{
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"crop_pct": 0.875,
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"crop_size": 224,
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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": "ConvNextImageProcessor",
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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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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"shortest_edge": 224
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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 sha256:1b1ee72b26e4f64c3217a1db3c8da6dd24f26b4cbfbb1378f0c251119478c1bc
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size 347325
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