{ "_name_or_path": "timm/resnet18.a1_in1k", "architecture": "resnet18", "architectures": [ "TimmWrapperForImageClassification" ], "id2label": { "0": "LABEL_0", "1": "LABEL_1", "2": "LABEL_2", "3": "LABEL_3", "4": "LABEL_4", "5": "LABEL_5", "6": "LABEL_6", "7": "LABEL_7", "8": "LABEL_8", "9": "LABEL_9" }, "initializer_range": 0.02, "label2id": { "LABEL_0": 0, "LABEL_1": 1, "LABEL_2": 2, "LABEL_3": 3, "LABEL_4": 4, "LABEL_5": 5, "LABEL_6": 6, "LABEL_7": 7, "LABEL_8": 8, "LABEL_9": 9 }, "model_type": "timm_wrapper", "num_classes": 10, "num_features": 512, "pretrained_cfg": { "classifier": "fc", "crop_mode": "center", "crop_pct": 0.95, "custom_load": false, "first_conv": "conv1", "fixed_input_size": false, "input_size": [ 3, 224, 224 ], "interpolation": "bicubic", "mean": [ 0.485, 0.456, 0.406 ], "origin_url": "https://github.com/huggingface/pytorch-image-models", "paper_ids": "arXiv:2110.00476", "pool_size": [ 7, 7 ], "std": [ 0.229, 0.224, 0.225 ], "tag": "a1_in1k", "test_crop_pct": 1.0, "test_input_size": [ 3, 288, 288 ] }, "torch_dtype": "float32", "transformers_version": "4.47.0.dev0" }