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core_sample_image_secondary_fraction_model

Image Classification
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swinv2
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core_sample_image_secondary_fraction_model
File size: 1,320 Bytes 
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{
  "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": "g",
    "1": "g*",
    "2": "s",
    "3": "s*",
    "4": "t",
    "5": "t*",
    "6": "u",
    "7": "u*",
    "8": "x"
  },
  "image_size": 256,
  "initializer_range": 0.02,
  "label2id": {
    "g": 0,
    "g*": 1,
    "s": 2,
    "s*": 3,
    "t": 4,
    "t*": 5,
    "u": 6,
    "u*": 7,
    "x": 8
  },
  "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": "multi_label_classification",
  "qkv_bias": true,
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.51.2",
  "use_absolute_embeddings": false,
  "window_size": 16
}