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{
"architectures": [
"SiglipForImageClassification"
],
"id2label": {
"0": "transportation",
"1": "other objects",
"2": "woodland",
"3": "water area",
"4": "other land",
"5": "cultivated land",
"6": "construction land"
},
"initializer_factor": 1.0,
"label2id": {
"construction land": 6,
"cultivated land": 5,
"other land": 4,
"other objects": 1,
"transportation": 0,
"water area": 3,
"woodland": 2
},
"model_type": "siglip",
"problem_type": "single_label_classification",
"text_config": {
"attention_dropout": 0.0,
"hidden_act": "gelu_pytorch_tanh",
"hidden_size": 768,
"intermediate_size": 3072,
"layer_norm_eps": 1e-06,
"max_position_embeddings": 64,
"model_type": "siglip_text_model",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"projection_size": 768,
"torch_dtype": "float32",
"vocab_size": 256000
},
"torch_dtype": "float32",
"transformers_version": "4.50.0",
"vision_config": {
"attention_dropout": 0.0,
"hidden_act": "gelu_pytorch_tanh",
"hidden_size": 768,
"image_size": 224,
"intermediate_size": 3072,
"layer_norm_eps": 1e-06,
"model_type": "siglip_vision_model",
"num_attention_heads": 12,
"num_channels": 3,
"num_hidden_layers": 12,
"patch_size": 16,
"torch_dtype": "float32"
}
}
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