huawei-cloud-ascend-small-model-migrate
Migrate vision/detection/segmentation small models to Ascend NPU, covering the full workflow: model structure analysis, migration verification, performance profiling, and optimization. Based on torch_npu and msprof Use this skill when the user wants to: (1) migrate encoder-only models like ResNet, Y
as observed 2026-09-21T23:20:53.794Z- Identifier
huawei-cloud-ascend-small-model-migrate- Source
- ClawHub
- Version observed
- 1.0.1
- Source repository
- not published
- Repository observation
- No source repository listed
- First observed here
- 2026-08-28T22:54:51.336Z
- Observations recorded
- 2
- Installs (reported upstream)
- 1
- Weekly downloads (upstream)
- 53
- Declared license
- MIT-0
Observation history
2026-09-21T23:20:53.794Z
Fields that differed: license changelog description latestVersion
| Field | Before | After |
|---|---|---|
license |
null | "MIT-0" |
changelog |
"- Initial release of the \"Huawei Cloud Ascend Small Model Migration\" skill.\n- Provides end-to-end workflow to migrate vision/detection/segmentation small models to Ascend NPU.\ | "- Added comprehensive guidance for migrating encoder-only vision models (e.g., YOLO, ResNet, UNet) to Ascend NPU using torch_npu and msprof.\n- Detailed step-by-step workflow: mod |
description |
"Migrate vision/detection/segmentation small models to Ascend NPU, covering the full workflow: model structure analysis, migration verification, performance profiling, and optimiza | null |
latestVersion |
"1.0.0" | "1.0.1" |
Correction
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