Commit
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0ea7626
1
Parent(s):
1acfd0a
Upload tiny models for FocalNetForMaskedImageModeling
Browse files- config.json +56 -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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"FocalNetForMaskedImageModeling"
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],
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"attention_probs_dropout_prob": 0.0,
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"depths": [
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1,
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2,
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1
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],
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"drop_path_rate": 0.1,
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"embed_dim": 16,
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"encoder_stride": 8,
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"focal_levels": [
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2,
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2,
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2,
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2
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],
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"focal_windows": [
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3,
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3,
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3,
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3
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],
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"image_size": 32,
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"initializer_range": 0.02,
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"layer_norm_eps": 1e-05,
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"layerscale_value": 0.0001,
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"mlp_ratio": 2.0,
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"model_type": "focalnet",
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"normalize_modulator": false,
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"num_channels": 3,
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"num_heads": [
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2,
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2,
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4
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],
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"out_features": [
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"stage1",
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"stage2"
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],
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"patch_size": 2,
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"path_norm": true,
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.29.0.dev0",
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"use_absolute_embeddings": false,
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"use_conv_embed": false,
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"use_layerscale": false,
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"use_post_layernorm": false,
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"use_post_layernorm_in_modulation": false,
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"window_size": 2
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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": 32,
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"width": 32
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},
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"do_center_crop": true,
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"do_convert_rgb": 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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0.48145466,
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0.4578275,
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0.40821073
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],
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"image_processor_type": "BitImageProcessor",
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"image_std": [
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0.26862954,
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0.26130258,
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0.27577711
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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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"shortest_edge": 32
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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 sha256:8bd39d00038d0dde82778b5a3794b6b15c3e766a4b23b06f4daeace9910bb6de
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size 352804
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