Update tiny models for LevitForImageClassification
Browse files- config.json +67 -0
- model.safetensors +3 -0
- preprocessor_config.json +27 -0
config.json
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@@ -0,0 +1,67 @@
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{
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"architectures": [
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"LevitForImageClassification"
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],
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"attention_ratio": [
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2,
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2,
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2
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],
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"depths": [
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2,
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3,
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4
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],
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"down_ops": [
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[
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"Subsample",
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8,
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2,
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4,
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2,
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2
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],
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[
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"Subsample",
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8,
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4,
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4,
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2,
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2
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],
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[
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""
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]
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],
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"drop_path_rate": 0,
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"dtype": "float32",
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"hidden_sizes": [
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16,
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32,
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48
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],
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"image_size": 64,
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"initializer_range": 0.02,
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"kernel_size": 3,
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"key_dim": [
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8,
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8,
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8
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],
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"mlp_ratio": [
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2,
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2,
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2
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],
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"model_type": "levit",
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"num_attention_heads": [
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1,
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2,
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3
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],
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"num_channels": 3,
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"padding": 1,
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"patch_size": 16,
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"stride": 2,
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"transformers_version": "5.16.0.dev0"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e10327237251f6f3fe45bcd34b097645cdb61c05cc09e3e36f6a85d2ec28a90a
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size 565704
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preprocessor_config.json
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@@ -0,0 +1,27 @@
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{
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"crop_size": {
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"longest_edge": 64,
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"shortest_edge": 64
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},
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"do_center_crop": true,
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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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0.485,
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0.456,
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0.406
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],
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"image_processor_type": "LevitImageProcessor",
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"image_std": [
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0.229,
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0.224,
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0.225
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],
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"longest_edge": 64,
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"shortest_edge": 64
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}
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}
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