{ | |
"_name_or_path": "tiny_models/mobilevit/MobileViTModel", | |
"architectures": [ | |
"MobileViTModel" | |
], | |
"aspp_dropout_prob": 0.1, | |
"aspp_out_channels": 256, | |
"atrous_rates": [ | |
6, | |
12, | |
18 | |
], | |
"attention_probs_dropout_prob": 0.1, | |
"classifier_dropout_prob": 0.1, | |
"conv_kernel_size": 3, | |
"expand_ratio": 4.0, | |
"hidden_act": "silu", | |
"hidden_dropout_prob": 0.1, | |
"hidden_sizes": [ | |
144, | |
192, | |
240 | |
], | |
"image_size": 32, | |
"initializer_range": 0.02, | |
"layer_norm_eps": 1e-05, | |
"mlp_ratio": 2.0, | |
"model_type": "mobilevit", | |
"neck_hidden_sizes": [ | |
16, | |
32, | |
64, | |
96, | |
128, | |
160, | |
640 | |
], | |
"num_attention_heads": 4, | |
"num_channels": 3, | |
"output_stride": 32, | |
"patch_size": 2, | |
"qkv_bias": true, | |
"semantic_loss_ignore_index": 255, | |
"torch_dtype": "float32", | |
"transformers_version": "4.28.0.dev0" | |
} | |