{ "architectures": [ "RegNetModel" ], "depths": [ 2, 7, 17, 1 ], "downsample_in_first_stage": true, "embedding_size": 32, "groups_width": 264, "hidden_act": "relu", "hidden_sizes": [ 528, 1056, 2904, 7392 ], "layer_type": "y", "model_type": "regnet", "num_channels": 3, "torch_dtype": "float32", "transformers_version": "4.18.0.dev0" }