{ "_name_or_path": "microsoft/resnet-50", "architectures": [ "ResNetForImageClassification" ], "depths": [ 3, 4, 6, 3 ], "downsample_in_bottleneck": false, "downsample_in_first_stage": false, "embedding_size": 64, "hidden_act": "relu", "hidden_sizes": [ 256, 512, 1024, 2048 ], "id2label": { "0": "aluminium", "1": "batteries", "10": "takeaway cups", "2": "cardboard", "3": "disposable plates", "4": "glass", "5": "hard plastic", "6": "paper", "7": "paper towel", "8": "polystyrene", "9": "soft plastics" }, "label2id": { "aluminium": "0", "batteries": "1", "cardboard": "2", "disposable plates": "3", "glass": "4", "hard plastic": "5", "paper": "6", "paper towel": "7", "polystyrene": "8", "soft plastics": "9", "takeaway cups": "10" }, "layer_type": "bottleneck", "model_type": "resnet", "num_channels": 3, "out_features": [ "stage4" ], "out_indices": [ 4 ], "problem_type": "single_label_classification", "stage_names": [ "stem", "stage1", "stage2", "stage3", "stage4" ], "torch_dtype": "float32", "transformers_version": "4.41.2" }