|
{ |
|
"_name_or_path": "google/vit-base-patch16-224-in21k", |
|
"architectures": [ |
|
"ViTForImageClassification" |
|
], |
|
"attention_probs_dropout_prob": 0.0, |
|
"encoder_stride": 16, |
|
"hidden_act": "gelu", |
|
"hidden_dropout_prob": 0.0, |
|
"hidden_size": 768, |
|
"id2label": { |
|
"0": "\u110c\u1169\u110b\u1175", |
|
"1": "\u110f\u1161\u1105\u1175\u1102\u1161", |
|
"2": "\u1110\u1162\u110b\u1167\u11ab" |
|
}, |
|
"image_size": 224, |
|
"initializer_range": 0.02, |
|
"intermediate_size": 3072, |
|
"label2id": { |
|
"\u110c\u1169\u110b\u1175": "0", |
|
"\u110f\u1161\u1105\u1175\u1102\u1161": "1", |
|
"\u1110\u1162\u110b\u1167\u11ab": "2" |
|
}, |
|
"layer_norm_eps": 1e-12, |
|
"model_type": "vit", |
|
"num_attention_heads": 12, |
|
"num_channels": 3, |
|
"num_hidden_layers": 12, |
|
"patch_size": 16, |
|
"problem_type": "single_label_classification", |
|
"qkv_bias": true, |
|
"torch_dtype": "float32", |
|
"transformers_version": "4.42.4" |
|
} |
|
|