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Add Iwin model config, weights (pth + safetensors), and README
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{
"architectures": [
"IwinForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"depths": [
2,
2,
18,
2
],
"drop_path_rate": 0.2,
"embed_dim": 128,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"image_size": 224,
"initializer_range": 0.02,
"layer_norm_eps": 1e-05,
"mlp_ratio": 4.0,
"model_type": "iwin",
"num_channels": 3,
"num_heads": [
4,
8,
16,
32
],
"num_labels": 21841,
"patch_size": 4,
"path_norm": true,
"qkv_bias": true,
"torch_dtype": "float32",
"use_absolute_embeddings": false,
"window_size": 7
}