| { | |
| "architectures": [ | |
| "MobileNetV2Model" | |
| ], | |
| "classifier_dropout_prob": 0.1, | |
| "depth_divisible_by": 8, | |
| "depth_multiplier": 0.25, | |
| "expand_ratio": 6, | |
| "finegrained_output": true, | |
| "first_layer_is_expansion": true, | |
| "hidden_act": "relu6", | |
| "image_size": 32, | |
| "initializer_range": 0.02, | |
| "layer_norm_eps": 0.001, | |
| "min_depth": 8, | |
| "model_type": "mobilenet_v2", | |
| "num_channels": 3, | |
| "output_stride": 32, | |
| "semantic_loss_ignore_index": 255, | |
| "tf_padding": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.28.0.dev0" | |
| } | |