config.json

{
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  "architectures": [
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  ],
  "backbone_config": {
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    "bad_words_ids": null,
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    "exponential_decay_length_penalty": null,
    "finetuning_task": null,
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    "hidden_act": "gelu",
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    "id2label": {
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      "1": "LABEL_1"
    },
    "image_size": 518,
    "initializer_range": 0.02,
    "is_decoder": false,
    "is_encoder_decoder": false,
    "label2id": {
      "LABEL_0": 0,
      "LABEL_1": 1
    },
    "layer_norm_eps": 1e-06,
    "layerscale_value": 1.0,
    "length_penalty": 1.0,
    "max_length": 20,
    "min_length": 0,
    "mlp_ratio": 4,
    "model_type": "dinov2",
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    "num_attention_heads": 6,
    "num_beam_groups": 1,
    "num_beams": 1,
    "num_channels": 3,
    "num_hidden_layers": 12,
    "num_return_sequences": 1,
    "out_features": [
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      "stage10",
      "stage11",
      "stage12"
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    "out_indices": [
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      10,
      11,
      12
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    "output_attentions": false,
    "output_hidden_states": false,
    "output_scores": false,
    "pad_token_id": null,
    "patch_size": 14,
    "prefix": null,
    "problem_type": null,
    "pruned_heads": {},
    "qkv_bias": true,
    "remove_invalid_values": false,
    "repetition_penalty": 1.0,
    "reshape_hidden_states": false,
    "return_dict": true,
    "return_dict_in_generate": false,
    "sep_token_id": null,
    "stage_names": [
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      "stage2",
      "stage3",
      "stage4",
      "stage5",
      "stage6",
      "stage7",
      "stage8",
      "stage9",
      "stage10",
      "stage11",
      "stage12"
    ],
    "suppress_tokens": null,
    "task_specific_params": null,
    "temperature": 1.0,
    "tf_legacy_loss": false,
    "tie_encoder_decoder": false,
    "tie_word_embeddings": true,
    "tokenizer_class": null,
    "top_k": 50,
    "top_p": 1.0,
    "torch_dtype": "float32",
    "torchscript": false,
    "transformers_version": "4.38.0.dev0",
    "typical_p": 1.0,
    "use_bfloat16": false,
    "use_swiglu_ffn": false
  },
  "fusion_hidden_size": 64,
  "head_hidden_size": 32,
  "head_in_index": -1,
  "initializer_range": 0.02,
  "model_type": "depth_anything",
  "neck_hidden_sizes": [
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    384
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  "reassemble_factors": [
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  "reassemble_hidden_size": 384,
  "torch_dtype": "float32",
  "transformers_version": null
}