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Update tiny models for DPTForDepthEstimation
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{
"add_projection": false,
"architectures": [
"DPTForDepthEstimation"
],
"attention_probs_dropout_prob": 0.1,
"auxiliary_loss_weight": 0.4,
"backbone_config": null,
"backbone_featmap_shape": null,
"backbone_out_indices": [
0,
1,
2,
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],
"dtype": "float32",
"fusion_hidden_size": 32,
"head_in_index": -1,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 32,
"image_size": 32,
"initializer_range": 0.02,
"intermediate_size": 37,
"is_decoder": false,
"is_hybrid": false,
"layer_norm_eps": 1e-12,
"model_type": "dpt",
"neck_hidden_sizes": [
16,
32
],
"neck_ignore_stages": [],
"num_attention_heads": 4,
"num_channels": 3,
"num_hidden_layers": 2,
"patch_size": 16,
"pooler_act": "tanh",
"pooler_output_size": 32,
"qkv_bias": true,
"readout_type": "project",
"reassemble_factors": [
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],
"semantic_classifier_dropout": 0.1,
"semantic_loss_ignore_index": 255,
"transformers_version": "5.16.0.dev0",
"use_auxiliary_head": true,
"use_batch_norm_in_fusion_residual": false,
"use_bias_in_fusion_residual": null
}