Instructions to use simon123905/test0325 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simon123905/test0325 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="simon123905/test0325")# Load model directly from transformers import AutoModelForDepthEstimation model = AutoModelForDepthEstimation.from_pretrained("simon123905/test0325", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,989 Bytes
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"architectures": [
"CHMv2ForDepthEstimation"
],
"backbone_config": {
"apply_layernorm": true,
"attention_dropout": 0.0,
"drop_path_rate": 0.0,
"hidden_act": "gelu",
"hidden_size": 1024,
"image_size": 224,
"initializer_range": 0.02,
"intermediate_size": 4096,
"key_bias": false,
"layer_norm_eps": 1e-05,
"layerscale_value": 1.0,
"mlp_bias": true,
"model_type": "dinov3_vit",
"num_attention_heads": 16,
"num_channels": 3,
"num_hidden_layers": 24,
"num_register_tokens": 4,
"out_features": [
"stage6",
"stage12",
"stage18",
"stage24"
],
"out_indices": [
6,
12,
18,
24
],
"patch_size": 16,
"pos_embed_jitter": null,
"pos_embed_rescale": 2.0,
"pos_embed_shift": null,
"proj_bias": true,
"query_bias": true,
"reshape_hidden_states": true,
"return_class_token": true,
"rope_theta": 100.0,
"stage_names": [
"stem",
"stage1",
"stage2",
"stage3",
"stage4",
"stage5",
"stage6",
"stage7",
"stage8",
"stage9",
"stage10",
"stage11",
"stage12",
"stage13",
"stage14",
"stage15",
"stage16",
"stage17",
"stage18",
"stage19",
"stage20",
"stage21",
"stage22",
"stage23",
"stage24"
],
"use_gated_mlp": false,
"value_bias": true
},
"backbone_type": "dinov3_vit",
"bins_strategy": "chmv2_mixlog",
"dtype": "float32",
"fusion_hidden_size": 256,
"head_hidden_size": 128,
"initializer_range": 0.02,
"max_depth": 96.0,
"min_depth": 0.001,
"model_type": "chmv2",
"norm_strategy": "chmv2_mixlog",
"number_output_channels": 256,
"patch_size": 16,
"post_process_channels": [
128,
256,
512,
1024
],
"readout_type": "project",
"reassemble_factors": [
4,
2,
1,
0.5
],
"transformers_version": "5.3.0.dev0"
}
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