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{
"_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",
"id2label": {
"0": "beignets",
"1": "bruschetta",
"2": "chicken_wings",
"3": "hamburger",
"4": "pork_chop",
"5": "prime_rib",
"6": "ramen"
},
"image_size": 256,
"initializer_range": 0.02,
"label2id": {
"beignets": 0,
"bruschetta": 1,
"chicken_wings": 2,
"hamburger": 3,
"pork_chop": 4,
"prime_rib": 5,
"ramen": 6
},
"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": "4.35.2",
"width_multiplier": 1.0
}
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