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Duplicate from autoevaluate/image-multi-class-classification
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{
"_name_or_path": "microsoft/swin-tiny-patch4-window7-224",
"architectures": [
"SwinForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"depths": [
2,
2,
6,
2
],
"drop_path_rate": 0.1,
"embed_dim": 96,
"encoder_stride": 32,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 768,
"id2label": {
"0": "0",
"1": "1",
"2": "2",
"3": "3",
"4": "4",
"5": "5",
"6": "6",
"7": "7",
"8": "8",
"9": "9"
},
"image_size": 224,
"initializer_range": 0.02,
"label2id": {
"0": 0,
"1": 1,
"2": 2,
"3": 3,
"4": 4,
"5": 5,
"6": 6,
"7": 7,
"8": 8,
"9": 9
},
"layer_norm_eps": 1e-05,
"mlp_ratio": 4.0,
"model_type": "swin",
"num_channels": 3,
"num_heads": [
3,
6,
12,
24
],
"num_layers": 4,
"patch_size": 4,
"path_norm": true,
"problem_type": "single_label_classification",
"qkv_bias": true,
"torch_dtype": "float32",
"transformers_version": "4.20.0",
"use_absolute_embeddings": false,
"window_size": 7
}