Download config.json from Intel/object-detection: direct link, hf CLI and curl.
- Browser
- Download file 599 Bytes
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https://huggingface.co/Intel/object-detection/resolve/main/config.json
- Command line
-
hf download hf://Intel/object-detection/config.json
-
curl -L -o config.json https://huggingface.co/Intel/object-detection/resolve/main/config.json
599 Bytes
| { | |
| "model_type": "object-detection", | |
| "library_name": "openvino", | |
| "pipeline_tag": "object-detection", | |
| "category": "General Object Detection (80-class COCO)", | |
| "base_model": "YOLO26 (Ultralytics)", | |
| "source_framework": "PyTorch (Ultralytics)", | |
| "supported_precisions": [ | |
| "FP32", | |
| "FP16", | |
| "INT8" | |
| ], | |
| "inference_engine": "OpenVINO", | |
| "hardware": [ | |
| "CPU", | |
| "GPU", | |
| "NPU" | |
| ], | |
| "detected_classes": "All 80 COCO classes", | |
| "hf_repo_id": "Intel/object-detection", | |
| "description": "General-purpose object detection use case using YOLO26 INT8 with all 80 COCO classes" | |
| } | |