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{
"_name_or_path": "AutoTrain",
"architectures": [
"SwinForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"depths": [
2,
2,
18,
2
],
"drop_path_rate": 0.1,
"embed_dim": 128,
"encoder_stride": 32,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 1024,
"id2label": {
"0": "CONTAINER",
"1": "CONTROL SHOT",
"2": "COVER",
"3": "EDGE + SPINE",
"4": "FLYSHEET",
"5": "OTHER",
"6": "PAGE + FOLIO",
"7": "SCROLL"
},
"image_size": 224,
"initializer_range": 0.02,
"label2id": {
"CONTAINER": "0",
"CONTROL SHOT": "1",
"COVER": "2",
"EDGE + SPINE": "3",
"FLYSHEET": "4",
"OTHER": "5",
"PAGE + FOLIO": "6",
"SCROLL": "7"
},
"layer_norm_eps": 1e-05,
"max_length": 128,
"mlp_ratio": 4.0,
"model_type": "swin",
"num_channels": 3,
"num_heads": [
4,
8,
16,
32
],
"num_layers": 4,
"padding": "max_length",
"patch_size": 4,
"path_norm": true,
"problem_type": "single_label_classification",
"qkv_bias": true,
"torch_dtype": "float32",
"transformers_version": "4.25.1",
"use_absolute_embeddings": false,
"window_size": 7
}
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