tiny-random-DPTModel / config.json
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{
"_commit_hash": null,
"architectures": [
"DPTModel"
],
"attention_probs_dropout_prob": 0.1,
"auxiliary_loss_weight": 0.4,
"backbone_config": null,
"backbone_featmap_shape": null,
"backbone_out_indices": [
0,
1,
2,
3
],
"fusion_hidden_size": 256,
"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_hybrid": false,
"layer_norm_eps": 1e-12,
"model_type": "dpt",
"neck_hidden_sizes": [
96,
192,
384,
768
],
"neck_ignore_stages": [],
"num_attention_heads": 4,
"num_channels": 3,
"num_hidden_layers": 4,
"patch_size": 16,
"qkv_bias": true,
"readout_type": "project",
"reassemble_factors": [
4,
2,
1,
0.5
],
"semantic_classifier_dropout": 0.1,
"semantic_loss_ignore_index": 255,
"torch_dtype": "float32",
"transformers_version": null,
"use_auxiliary_head": true,
"use_batch_norm_in_fusion_residual": false
}