Download resnet50-v1_config.yaml from TexasInstruments/ResNet-Classification: direct link, hf CLI and curl.
- Browser
- Download file 809 Bytes
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https://huggingface.co/TexasInstruments/ResNet-Classification/resolve/main/resnet50-v1_config.yaml
- Command line
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hf download hf://TexasInstruments/ResNet-Classification/resnet50-v1_config.yaml
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curl -L -o resnet50-v1_config.yaml https://huggingface.co/TexasInstruments/ResNet-Classification/resolve/main/resnet50-v1_config.yaml
809 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: resnet50-v1.onnx | |
| model_id: cl-mh6001 | |
| input_details: null | |
| output_details: null | |
| num_inputs: 1 | |
| model_info: | |
| metric_reference: | |
| accuracy_top1%: 74.93 | |
| compact_name: resnet50-v1 | |
| shortlisted: true | |