Commit
•
ee82f04
1
Parent(s):
793a902
Upload tiny models for EfficientFormerModel
Browse files- config.json +53 -0
- preprocessor_config.json +27 -0
- pytorch_model.bin +3 -0
config.json
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{
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"architectures": [
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"EfficientFormerModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"attention_ratio": 4,
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"depths": [
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3,
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2,
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6,
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4
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],
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"dim": 448,
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"distillation": true,
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"downsample_pad": 1,
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"downsample_patch_size": 3,
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"downsample_stride": 2,
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"downsamples": [
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true,
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true,
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true,
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true
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],
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"drop_path_rate": 0.0,
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"encoder_stride": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 448,
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"hidden_sizes": [
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48,
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96,
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224,
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448
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],
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 37,
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"key_dim": 32,
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"layer_norm_eps": 1e-12,
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"layer_scale_init_value": 1e-05,
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"mlp_expansion_ratio": 4,
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"model_type": "efficientformer",
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"num_attention_heads": 8,
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"num_channels": 3,
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"num_hidden_layers": 7,
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"num_meta3d_blocks": 1,
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"patch_size": 2,
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"pool_size": 3,
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"resolution": 7,
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"torch_dtype": "float32",
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"transformers_version": "4.28.0.dev0",
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"use_layer_scale": true
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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": 224,
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"width": 224
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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": "EfficientFormerImageProcessor",
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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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"height": 224,
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"width": 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 sha256:95682f81e1af996a03c3b8f350d40b364b8c4cc3aea6871f08d9731547fd48eb
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size 45811041
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