Download dino_vitb8_config.yaml from TexasInstruments/DINO-Classification: direct link, hf CLI and curl.
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- Download file 792 Bytes
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https://huggingface.co/TexasInstruments/DINO-Classification/resolve/main/dino_vitb8_config.yaml
- Command line
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hf download hf://TexasInstruments/DINO-Classification/dino_vitb8_config.yaml
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curl -L -o dino_vitb8_config.yaml https://huggingface.co/TexasInstruments/DINO-Classification/resolve/main/dino_vitb8_config.yaml
792 Bytes
| task_type: classification | |
| #dataset_category: imagenet | |
| #calibration_dataset: imagenet | |
| #input_dataset: imagenet | |
| dataloader: | |
| name: image_classification_dataloader | |
| path: ./data/datasets/imagenetv2c/val | |
| postprocess: {} | |
| preprocess: | |
| resize: 256 | |
| crop: 224 | |
| data_layout: NCHW | |
| reverse_channels: false | |
| backend: pil | |
| interpolation: null | |
| resize_with_pad: false | |
| pad_color: 0 | |
| session: | |
| session_name: onnxrt | |
| target_device: null | |
| input_optimization: false | |
| input_data_layout: NCHW | |
| input_mean: [123.675, 116.28, 103.53] | |
| input_scale: [0.017125, 0.017507, 0.017429] | |
| model_path: dino_vitb8.onnx | |
| model_id: cl-mh6019 | |
| input_details: null | |
| output_details: null | |
| num_inputs: 1 | |
| model_info: | |
| metric_reference: | |
| accuracy_top1%: 80.1 | |
| compact_name: DINO-ViT-B/8 | |
| shortlisted: true | |