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swinv2-tiny-patch4-window8-256-finetuned-eurosat

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swinv2-tiny-patch4-window8-256-finetuned-eurosat
File size: 1,332 Bytes 
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{
  "_name_or_path": "microsoft/swinv2-tiny-patch4-window8-256",
  "architectures": [
    "Swinv2ForImageClassification"
  ],
  "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": "\ubd84\ub178",
    "1": "\uae30\uc068",
    "2": "\ub2f9\ud669",
    "3": "\uc2ac\ud514"
  },
  "image_size": 256,
  "initializer_range": 0.02,
  "label2id": {
    "\uae30\uc068": "1",
    "\ub2f9\ud669": "2",
    "\ubd84\ub178": "0",
    "\uc2ac\ud514": "3"
  },
  "layer_norm_eps": 1e-05,
  "mlp_ratio": 4.0,
  "model_type": "swinv2",
  "num_channels": 3,
  "num_heads": [
    3,
    6,
    12,
    24
  ],
  "num_layers": 4,
  "out_features": [
    "stage4"
  ],
  "out_indices": [
    4
  ],
  "patch_size": 4,
  "path_norm": true,
  "pretrained_window_sizes": [
    0,
    0,
    0,
    0
  ],
  "problem_type": "single_label_classification",
  "qkv_bias": true,
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.40.2",
  "use_absolute_embeddings": false,
  "window_size": 8
}