Download config.json from Intel/delivery-package-verification: direct link, hf CLI and curl.
- Browser
- Download file 724 Bytes
-
https://huggingface.co/Intel/delivery-package-verification/resolve/main/config.json
- Command line
-
hf download hf://Intel/delivery-package-verification/config.json
-
curl -L -o config.json https://huggingface.co/Intel/delivery-package-verification/resolve/main/config.json
724 Bytes
| { | |
| "model_type": "delivery-package-verification", | |
| "library_name": "openvino", | |
| "pipeline_tag": "object-detection", | |
| "category": "Object Detection (Package and Parcel Detection)", | |
| "base_model": "YOLO26 (Ultralytics)", | |
| "source_framework": "PyTorch (Ultralytics)", | |
| "supported_precisions": [ | |
| "FP32", | |
| "FP16", | |
| "INT8" | |
| ], | |
| "inference_engine": "OpenVINO", | |
| "hardware": [ | |
| "CPU", | |
| "GPU", | |
| "NPU" | |
| ], | |
| "detected_classes": "`package` (COCO `backpack`/`handbag`/`suitcase`, relabeled)", | |
| "hf_repo_id": "Intel/delivery-package-verification", | |
| "description": "Delivery/package verification use case using YOLO26 to detect packages and parcels (COCO backpack/handbag/suitcase relabeled as package)" | |
| } | |