Action_model / config.json
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{
"_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": "\u0995\u09a5\u09be_\u09ac\u09b2\u09be",
"1": "\u0995\u09ae\u09cd\u09aa\u09bf\u0989\u099f\u09be\u09b0_\u09ac\u09cd\u09af\u09ac\u09b9\u09be\u09b0_\u0995\u09b0\u09be",
"2": "\u0996\u09be\u0993\u09df\u09be",
"3": "\u0996\u09c7\u09b2\u09be_\u0995\u09b0\u09be",
"4": "\u0998\u09c1\u09ae\u09be\u09a8\u09cb",
"5": "\u09aa\u09be\u09a8_\u0995\u09b0\u09be",
"6": "\u09aa\u09dc\u09be",
"7": "\u09b0\u09be\u09a8\u09cd\u09a8\u09be_\u0995\u09b0\u09be",
"8": "\u09b2\u09c7\u0996\u09be",
"9": "\u09b9\u09be\u0981\u099f\u09be"
},
"image_size": 224,
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"\u0995\u09a5\u09be_\u09ac\u09b2\u09be": "0",
"\u0995\u09ae\u09cd\u09aa\u09bf\u0989\u099f\u09be\u09b0_\u09ac\u09cd\u09af\u09ac\u09b9\u09be\u09b0_\u0995\u09b0\u09be": "1",
"\u0996\u09be\u0993\u09df\u09be": "2",
"\u0996\u09c7\u09b2\u09be_\u0995\u09b0\u09be": "3",
"\u0998\u09c1\u09ae\u09be\u09a8\u09cb": "4",
"\u09aa\u09be\u09a8_\u0995\u09b0\u09be": "5",
"\u09aa\u09dc\u09be": "6",
"\u09b0\u09be\u09a8\u09cd\u09a8\u09be_\u0995\u09b0\u09be": "7",
"\u09b2\u09c7\u0996\u09be": "8",
"\u09b9\u09be\u0981\u099f\u09be": "9"
},
"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": "4.41.1"
}