| { | |
| "_name_or_path": "microsoft/resnet-50", | |
| "architectures": [ | |
| "ResNetForImageClassification" | |
| ], | |
| "depths": [ | |
| 3, | |
| 4, | |
| 6, | |
| 3 | |
| ], | |
| "downsample_in_first_stage": false, | |
| "embedding_size": 64, | |
| "hidden_act": "relu", | |
| "hidden_sizes": [ | |
| 256, | |
| 512, | |
| 1024, | |
| 2048 | |
| ], | |
| "id2label": { | |
| "0": "airplane", | |
| "1": "automobile", | |
| "2": "bird", | |
| "3": "cat", | |
| "4": "deer", | |
| "5": "dog", | |
| "6": "frog", | |
| "7": "horse", | |
| "8": "ship", | |
| "9": "truck" | |
| }, | |
| "label2id": { | |
| "airplane": 0, | |
| "automobile": 1, | |
| "bird": 2, | |
| "cat": 3, | |
| "deer": 4, | |
| "dog": 5, | |
| "frog": 6, | |
| "horse": 7, | |
| "ship": 8, | |
| "truck": 9 | |
| }, | |
| "layer_type": "bottleneck", | |
| "model_type": "resnet", | |
| "num_channels": 3, | |
| "output_hidden_states": true, | |
| "problem_type": "single_label_classification", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.20.1" | |
| } | |