Fashion-Product-Usage / config.json
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{
"architectures": [
"SiglipForImageClassification"
],
"id2label": {
"0": "Casual",
"1": "Ethnic",
"2": "Formal",
"3": "Home",
"4": "Party",
"5": "Smart Casual",
"6": "Sports",
"7": "Travel"
},
"initializer_factor": 1.0,
"label2id": {
"Casual": 0,
"Ethnic": 1,
"Formal": 2,
"Home": 3,
"Party": 4,
"Smart Casual": 5,
"Sports": 6,
"Travel": 7
},
"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": "4.50.3",
"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"
}
}