| { | |
| "num_classes": 3, | |
| "input_size": [ | |
| 3, | |
| 224, | |
| 224 | |
| ], | |
| "pool_size": [ | |
| 7, | |
| 7 | |
| ], | |
| "crop_pct": 0.875, | |
| "interpolation": "bicubic", | |
| "mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ], | |
| "first_conv": "conv1", | |
| "classifier": "fc", | |
| "url": "https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/resnet50_ram-a26f946b.pth", | |
| "architecture": "resnet50", | |
| "labels": [ | |
| "LABEL_0", | |
| "LABEL_1", | |
| "LABEL_2" | |
| ], | |
| "hf_hub": "nateraw/timm-resnet50-beans", | |
| "num_features": 2048, | |
| "id2label": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1", | |
| "2": "LABEL_2" | |
| } | |
| } |