{ "architectures": [ "RegNetModel" ], "depths": [ 2, 5, 12, 1 ], "downsample_in_first_stage": true, "embedding_size": 32, "groups_width": 232, "hidden_act": "relu", "hidden_sizes": [ 232, 696, 1392, 3712 ], "layer_type": "y", "model_type": "regnet", "num_channels": 3, "torch_dtype": "float32", "transformers_version": "4.18.0.dev0" }