Instructions to use wardner/Depth-Anything-V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- RKLLM
How to use wardner/Depth-Anything-V3 with RKLLM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 2,018 Bytes
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"model_id": "wardner/Depth-Anything-V3",
"display_name": "Depth-Anything-V3",
"model_type": "LLM",
"chip_label": "RK182x",
"supported_chips": [
"RK182x"
],
"host_platform": "RK3588",
"runtime_type": "rkllm+rknn",
"worker": {
"id": "depth_anything_v3",
"label": "[Depth]视觉深度信息v3",
"capability_types": [
"swcap_vision_depth"
],
"model_dir_env": "WDNAI_DEPTH_ANYTHING_V3_DIR",
"model_dir_name": "Depth-Anything-V3",
"available_targets": [
"182x"
],
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"estimated_init_seconds": 30
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}
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