mlboydaisuke / Depth-Anything-V2-Small-ExecuTorch

huggingface.co
Total runs: 104
24-hour runs: 1
7-day runs: -1
30-day runs: -57
Model's Last Updated: September 04 2026
depth-estimation

Introduction of Depth-Anything-V2-Small-ExecuTorch

Model Details of Depth-Anything-V2-Small-ExecuTorch

depth_anything_v2_small — ExecuTorch XNNPACK

depth_anything_v2_small_xnnpack_fp32.pte (99.0 MB, fp32, XNNPACK-delegated)

  • Source : depth-anything/Depth-Anything-V2-Small-hf
  • License : Apache-2.0
  • Input : [[1, 3, 518, 518]] — RGB, ImageNet norm, 518x518
  • Output : relative inverse depth [1,518,518]
Verification (Mac arm64, executorch 1.4.0, torch 2.13.0)

Parity vs torch fp32 eager on random input:

output shape max_abs_diff corr
0 [1, 518, 518] 6.914e-06 1.000000

Median latency over 10 runs (single Mac process, reference only — device numbers to follow): ExecuTorch 173.7 ms vs torch eager 88.0 ms.

Conversion

torch.export -> to_edge_transform_and_lower(XnnpackPartitioner) -> .pte (conversion scripts: executorch-models )


Part of executorch-models — a verified .pte zoo for ExecuTorch. Conversion scripts and all models are indexed there.

Runs of mlboydaisuke Depth-Anything-V2-Small-ExecuTorch on huggingface.co

104
Total runs
1
24-hour runs
-1
3-day runs
-1
7-day runs
-57
30-day runs

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Depth-Anything-V2-Small-ExecuTorch install

Depth-Anything-V2-Small-ExecuTorch is an open source model from GitHub that offers a free installation service, and any user can find Depth-Anything-V2-Small-ExecuTorch on GitHub to install. At the same time, huggingface.co provides the effect of Depth-Anything-V2-Small-ExecuTorch install, users can directly use Depth-Anything-V2-Small-ExecuTorch installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Depth-Anything-V2-Small-ExecuTorch install url in huggingface.co:

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