Upload 3 files
Browse files- config.json +54 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "microsoft/swinv2-tiny-patch4-window8-256",
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"architectures": [
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"Swinv2ForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"depths": [
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2,
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2,
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6,
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2
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],
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"drop_path_rate": 0.1,
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"embed_dim": 96,
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"encoder_stride": 32,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "non-glaucoma",
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"1": "glaucoma"
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},
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"image_size": 512,
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"initializer_range": 0.02,
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"label2id": {
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"glaucoma": "1",
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"non-glaucoma": "0"
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},
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"layer_norm_eps": 1e-05,
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"mlp_ratio": 4.0,
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"model_type": "swinv2",
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"num_channels": 3,
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"num_heads": [
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3,
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6,
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12,
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24
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],
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"num_layers": 4,
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"patch_size": 4,
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"path_norm": true,
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"pretrained_window_sizes": [
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0,
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0,
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0,
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0
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],
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.28.0",
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"use_absolute_embeddings": false,
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"window_size": 8
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}
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preprocessor_config.json
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{
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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": "ViTImageProcessor",
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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": 512,
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"width": 512
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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 sha256:95cfbbc74cee50346361f456d2a43293ac15c91d575e53999ba268659ab271ea
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size 110405153
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