|
{
|
|
"_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": "anger",
|
|
"1": "contempt",
|
|
"2": "disgust",
|
|
"3": "fear",
|
|
"4": "happy",
|
|
"5": "neutral",
|
|
"6": "sad",
|
|
"7": "surprise"
|
|
},
|
|
"image_size": 224,
|
|
"initializer_range": 0.02,
|
|
"intermediate_size": 3072,
|
|
"label2id": {
|
|
"anger": "0",
|
|
"contempt": "1",
|
|
"disgust": "2",
|
|
"fear": "3",
|
|
"happy": "4",
|
|
"neutral": "5",
|
|
"sad": "6",
|
|
"surprise": "7"
|
|
},
|
|
"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": "4.37.2"
|
|
}
|
|
|