Download config.json from Intel/facial-recognition: direct link, hf CLI and curl.
- Browser
- Download file 774 Bytes
-
https://huggingface.co/Intel/facial-recognition/resolve/main/config.json
- Command line
-
hf download hf://Intel/facial-recognition/config.json
-
curl -L -o config.json https://huggingface.co/Intel/facial-recognition/resolve/main/config.json
774 Bytes
| { | |
| "model_type": "facial-recognition", | |
| "library_name": "openvino", | |
| "pipeline_tag": "image-classification", | |
| "category": "Face Detection + Re-Identification", | |
| "base_model": "face-detection-adas-0001 + face-reidentification-retail-0095 (Open Model Zoo)", | |
| "source_framework": "Caffe / PyTorch (Open Model Zoo)", | |
| "supported_precisions": [ | |
| "FP32", | |
| "FP16" | |
| ], | |
| "inference_engine": "OpenVINO", | |
| "hardware": [ | |
| "CPU", | |
| "GPU", | |
| "NPU" | |
| ], | |
| "detected_classes": "Human faces (detection) + 256-d face embeddings (re-identification)", | |
| "hf_repo_id": "Intel/facial-recognition", | |
| "description": "Facial recognition use case using face-detection-adas-0001 and face-reidentification-retail-0095 for face detection and 256-d embedding re-identification" | |
| } | |