SwinTest / config.json
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{
"_name_or_path": "landmark-classification-vit",
"architectures": [
"Swinv2ForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"depths": [
2,
2,
6,
2
],
"drop_path_rate": 0.1,
"embed_dim": 96,
"encoder_stride": 64,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 768,
"id2label": {
"0": "Observation , document"
},
"image_size": 224,
"initializer_range": 0.02,
"layer_norm_eps": 1e-05,
"mlp_ratio": 4.0,
"model_type": "swinv2",
"num_channels": 3,
"num_heads": [
3,
6,
12,
24
],
"num_layers": 4,
"patch_size": 4,
"path_norm": true,
"pretrained_window_sizes": [
0,
0,
0,
0
],
"qkv_bias": true,
"torch_dtype": "float64",
"transformers_version": "4.47.1",
"use_absolute_embeddings": false,
"window_size": 10
}