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README.md
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- Class labels
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- Confidence scores
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## License
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- Licensed under [AGPL-3.0](https://github.com/ultralytics/ultralytics?tab=AGPL-3.0-1-ov-file#readme) (same as Ultralytics YOLO).
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- Class labels
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- Confidence scores
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---
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## How to use
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> ⚠️ **Hardware requirement:** the model currently runs **only on Qualcomm NPUs** (e.g., Snapdragon-powered AIPC).
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> Apple NPU support is planned next.
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### 1) Install Nexa-SDK
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- Download and follow the steps under "Deploy Section" Nexa's model page: [Download Windows arm64 SDK](https://sdk.nexa.ai/model/YOLOv12%E2%80%91N)
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- (Other platforms coming soon)
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### 2) Get an access token
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Create a token in the Model Hub, then log in:
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```bash
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nexa config set license '<access_token>'
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```
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### 3) Run the model
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Running:
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```bash
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nexa infer NexaAI/yolov12-npu
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```
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---
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## License
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- Licensed under [AGPL-3.0](https://github.com/ultralytics/ultralytics?tab=AGPL-3.0-1-ov-file#readme) (same as Ultralytics YOLO).
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