Download paper_tables/table_paths.json from Shanmuk4622/E2AM_EffNetV2_TinyImageNet: direct link, hf CLI and curl.
- Browser
- Download file 638 Bytes
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https://huggingface.co/datasets/Shanmuk4622/E2AM_EffNetV2_TinyImageNet/resolve/main/paper_tables/table_paths.json
- Command line
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hf download hf://datasets/Shanmuk4622/E2AM_EffNetV2_TinyImageNet/paper_tables/table_paths.json
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curl -L -o table_paths.json https://huggingface.co/datasets/Shanmuk4622/E2AM_EffNetV2_TinyImageNet/resolve/main/paper_tables/table_paths.json
638 Bytes
| { | |
| "all_metrics_summary": "/kaggle/working/E2AM-EffNetV2-TIN/paper_tables/all_metrics_summary.csv", | |
| "training_results_table": "/kaggle/working/E2AM-EffNetV2-TIN/paper_tables/training_results_table.csv", | |
| "individual_method_study": "/kaggle/working/E2AM-EffNetV2-TIN/paper_tables/individual_method_study.csv", | |
| "cumulative_ablation_table": "/kaggle/working/E2AM-EffNetV2-TIN/paper_tables/cumulative_ablation_table.csv", | |
| "equal_epoch_comparison": "/kaggle/working/E2AM-EffNetV2-TIN/paper_tables/equal_epoch_comparison.csv", | |
| "deployment_results_table": "/kaggle/working/E2AM-EffNetV2-TIN/paper_tables/deployment_results_table.csv" | |
| } |