{ | |
"_name_or_path": "WinKawaks/vit-small-patch16-224", | |
"architectures": [ | |
"ViTForImageClassification" | |
], | |
"attention_probs_dropout_prob": 0.0, | |
"encoder_stride": 16, | |
"hidden_act": "gelu", | |
"hidden_dropout_prob": 0.0, | |
"hidden_size": 384, | |
"id2label": { | |
"0": "airplane", | |
"1": "automobile", | |
"2": "bird", | |
"3": "cat", | |
"4": "deer", | |
"5": "dog", | |
"6": "frog", | |
"7": "horse", | |
"8": "ship", | |
"9": "truck" | |
}, | |
"image_size": 224, | |
"initializer_range": 0.02, | |
"intermediate_size": 1536, | |
"label2id": { | |
"airplane": 0, | |
"automobile": 1, | |
"bird": 2, | |
"cat": 3, | |
"deer": 4, | |
"dog": 5, | |
"frog": 6, | |
"horse": 7, | |
"ship": 8, | |
"truck": 9 | |
}, | |
"layer_norm_eps": 1e-12, | |
"model_type": "vit", | |
"num_attention_heads": 6, | |
"num_channels": 3, | |
"num_hidden_layers": 12, | |
"patch_size": 16, | |
"problem_type": "single_label_classification", | |
"qkv_bias": true, | |
"torch_dtype": "float32", | |
"transformers_version": "4.38.2" | |
} | |