| { | |
| "architectures": [ | |
| "MobileViTV2Model" | |
| ], | |
| "aspp_dropout_prob": 0.1, | |
| "aspp_out_channels": 32, | |
| "atrous_rates": [ | |
| 6, | |
| 12, | |
| 18 | |
| ], | |
| "attn_dropout": 0.0, | |
| "base_attn_unit_dims": [ | |
| 16, | |
| 24, | |
| 32 | |
| ], | |
| "classifier_dropout_prob": 0.1, | |
| "conv_kernel_size": 3, | |
| "dtype": "float32", | |
| "expand_ratio": 2.0, | |
| "ffn_dropout": 0.0, | |
| "ffn_multiplier": 2, | |
| "hidden_act": "swish", | |
| "image_size": 64, | |
| "initializer_range": 0.02, | |
| "layer_norm_eps": 1e-05, | |
| "model_type": "mobilevitv2", | |
| "n_attn_blocks": [ | |
| 1, | |
| 1, | |
| 2 | |
| ], | |
| "num_channels": 3, | |
| "output_stride": 32, | |
| "patch_size": 2, | |
| "semantic_loss_ignore_index": 255, | |
| "transformers_version": "5.16.0.dev0", | |
| "width_multiplier": 0.25 | |
| } | |