|
{
|
|
"_name_or_path": "apple/mobilevitv2-1.0-imagenet1k-256",
|
|
"architectures": [
|
|
"MobileViTV2ForImageClassification"
|
|
],
|
|
"aspp_dropout_prob": 0.1,
|
|
"aspp_out_channels": 512,
|
|
"atrous_rates": [
|
|
6,
|
|
12,
|
|
18
|
|
],
|
|
"attn_dropout": 0.0,
|
|
"base_attn_unit_dims": [
|
|
128,
|
|
192,
|
|
256
|
|
],
|
|
"classifier_dropout_prob": 0.1,
|
|
"conv_kernel_size": 3,
|
|
"expand_ratio": 2.0,
|
|
"ffn_dropout": 0.0,
|
|
"ffn_multiplier": 2,
|
|
"hidden_act": "swish",
|
|
"image_size": 256,
|
|
"initializer_range": 0.02,
|
|
"layer_norm_eps": 1e-05,
|
|
"mlp_ratio": 2.0,
|
|
"model_type": "mobilevitv2",
|
|
"n_attn_blocks": [
|
|
2,
|
|
4,
|
|
3
|
|
],
|
|
"num_channels": 3,
|
|
"output_stride": 32,
|
|
"patch_size": 2,
|
|
"problem_type": "single_label_classification",
|
|
"semantic_loss_ignore_index": 255,
|
|
"torch_dtype": "float32",
|
|
"transformers_version": "4.43.4",
|
|
"width_multiplier": 1.0
|
|
}
|
|
|